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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436656924_m2.jpg...
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Last login: Fri May 8 22:00:18 on ttys012
Poetry Last login: Fri May 8 22:00:18 on ttys012
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite <<'SQL'
.headers on
.mode column
SELECT 'ocr_text' AS t, COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '2026-05-08')
UNION ALL SELECT 'elements', COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '2026-05-08');
SQL
t COUNT(*)
-------- --------
ocr_text 990
elements 545397
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
ssh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
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find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite <<'SQL'\n.headers on\n.mode column\nSELECT 'ocr_text' AS t, COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '2026-05-08')\nUNION ALL SELECT 'elements', COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '2026-05-08');\nSQL\nt COUNT(*)\n-------- --------\nocr_text 990 \nelements 545397 \nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.058843084,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close 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Tab","depth":3,"bounds":{"left":0.68417555,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7273936,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"-zsh","depth":1,"bounds":{"left":0.50398934,"top":1.0,"width":0.010970744,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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Last login: Fri May 8 22:00:18 on ttys012
Poetry Last login: Fri May 8 22:00:18 on ttys012
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ sqlite3 ~/.screenpipe/db.sqlite <<'SQL'
.headers on
.mode column
SELECT 'ocr_text' AS t, COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '2026-05-08')
UNION ALL SELECT 'elements', COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '2026-05-08');
SQL
t COUNT(*)
-------- --------
ocr_text 990
elements 545397
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
ssh
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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2026-05-10T18:11:05.745316+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436665745_m1.jpg...
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Claude
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Claude
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True
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
Copy
Give positive feedback
Give negative feedback
Retry
You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Retry
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications...
|
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for IDE work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concrete uses given your stack:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily activity summary","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": instead of \"spent 2h in PhpStorm\", you can group by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and get \"spent 2h in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app/Http/Controllers/ReportsController.php","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\" — directly tied to the JY-20458 work.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ticket correlation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path LIKE '%/reports/%'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to slice by feature area.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replaces some of the","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LIKE '%JY-%'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"fishing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": your hyphenated-token issue with FTS5 mostly comes up in OCR text. For \"what was I working on\",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"skips OCR entirely.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Worth adding an index on the NAS:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sql","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INDEX","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IF","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXISTS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"elements.on_screen — directly useful for the meeting detector","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"elements.on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— directly useful for the meeting detector","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"meeting-detector","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Zoom's accessibility tree exposes","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"everyone","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on the call, including names in collapsed roster panels. Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secret","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your setup, this maps well because:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
Retry
Edit
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14667
|
654
|
0
|
2026-05-10T18:11:09.833503+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436669833_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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Open Screenpipe sync
Open in iTerm
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Give positive feedback
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Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE...
|
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button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":21,"bounds":{"left":0.27027926,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.28224733,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. 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You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. 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I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... 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Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"}]...
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-4668640444943266356
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7784224810941989904
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visual_change
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NULL
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14668
|
653
|
0
|
2026-05-10T18:11:14.264099+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436674264_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Click to collapse","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘B","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to resize","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Collapse sidebar","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New chat ⌘N","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"New chat","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘N","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Projects","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Artifacts","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Customize","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Pinned","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"Bulgarian citizenship application process for EU residents","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Bulgarian citizenship application process for EU residents","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Dawarich location tracking project","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Dawarich location tracking project","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Recents","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"View all","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Monthly expense tracking","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Monthly expense tracking","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Exporting transaction data from Notion to finance hub","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Exporting transaction data from Notion to finance hub","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync script failing after recent migrations","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Screenpipe sync script failing after recent migrations","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"💬 How much have I spent for 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chat","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync...
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2026-05-10T18:15:47.949221+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436947949_m1.jpg...
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Claude
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Claude
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
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bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
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bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
Copy to clipboard...
|
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — Claude Code custom slash command (most ergonomic):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Claude Code reads","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.claude/commands/*.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"as custom slash commands. Save the prompt there and invoke it as","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a Claude Code session:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mkdir","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-p ~/.claude/commands","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cp","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in Claude Code:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily 2026-05-09","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — wrapper script:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A small","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that takes a date arg and pipes the substituted prompt to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". I can write this if you want — let me know which path you prefer (most likely B given how you work).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"3. Adding log copying to the sync","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"3. Adding log copying to the sync","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Patching the script now. New section copies","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.YYYY-MM-DD.*.log","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$NAS_MOUNT/logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Flat directory rather than nested under each day, so you can","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days easily.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Notes on the log copy behavior","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Notes on the log copy behavior","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Glob handles rotation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.$TARGET_DATE.*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"catches any future","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".1.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".2.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"files if Screenpipe ever rotates within a day.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"nullglob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensures we don't get a literal pattern when there's no match.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--ignore-existing","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": when you sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"today","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", the log is still being written. Default rsync (","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-a","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Flat","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"directory on NAS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": easier to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -h \"ERROR\" logs/*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After running the new sync once, you should see:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
Copy to clipboard...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14724
|
NULL
|
0
|
2026-05-10T18:15:51.365072+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436951365_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
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bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
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bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
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[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
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bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that
after
the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).
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(pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. 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Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. 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Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. 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I can write this if you want — let me know which path you prefer (most likely B given how you work).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"3. Adding log copying to the sync","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"3. Adding log copying to the sync","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Patching the script now. New section copies","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.YYYY-MM-DD.*.log","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$NAS_MOUNT/logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". 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Default rsync (","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-a","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Flat","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"directory on NAS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": easier to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -h \"ERROR\" logs/*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After running the new sync once, you should see:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rsync logs → NAS ✓ 1 file(s), 553K","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The first run will populate the NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"folder with whatever local logs already exist for past dates as you re-sync them.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing to be aware of","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing to be aware of","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$HOME","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/.screenpipe\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-maxdepth","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-name","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"screenpipe.*.log\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-mtime +7 -delete","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"But only do that","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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7207764058638566418
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visual_change
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NULL
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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Give positive feedback
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
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[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that
after
the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).
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|
NULL
|
NULL
|
NULL
|
NULL
|
|
14725
|
655
|
0
|
2026-05-10T18:16:18.273114+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436978273_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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Give positive feedback
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
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bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
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[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that...
|
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(pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. 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Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. 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Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. 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Flat directory rather than nested under each day, so you can","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days easily.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Notes on the log copy behavior","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Notes on the log copy behavior","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Glob handles rotation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.$TARGET_DATE.*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"catches any future","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".1.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".2.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"files if Screenpipe ever rotates within a day.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"nullglob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensures we don't get a literal pattern when there's no match.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--ignore-existing","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": when you sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"today","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", the log is still being written. Default rsync (","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-a","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Flat","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"directory on NAS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": easier to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -h \"ERROR\" logs/*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After running the new sync once, you should see:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rsync logs → NAS ✓ 1 file(s), 553K","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The first run will populate the NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"folder with whatever local logs already exist for past dates as you re-sync them.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing to be aware of","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing to be aware of","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$HOME","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/.screenpipe\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-maxdepth","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-name","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"screenpipe.*.log\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-mtime +7 -delete","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"But only do that","depth":25,"on_screen":false,"role_description":"text"}]...
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5333558423223238612
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8360685563245413394
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
Download all
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Give positive feedback
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
Copy to clipboard
[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that...
|
14723
|
NULL
|
NULL
|
NULL
|
|
14726
|
656
|
0
|
2026-05-10T18:16:21.757856+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778436981757_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Close
Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
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bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
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bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
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[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
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bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that
after
the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: yes I will add cleanup later along other retention logic.
You said: yes I will add cleanup later along other retention logic....
|
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lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — Claude Code custom slash command (most ergonomic):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Claude Code reads","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.claude/commands/*.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"as custom slash commands. Save the prompt there and invoke it as","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a Claude Code session:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mkdir","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-p ~/.claude/commands","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cp","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in Claude Code:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily 2026-05-09","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — wrapper script:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A small","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that takes a date arg and pipes the substituted prompt to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". I can write this if you want — let me know which path you prefer (most likely B given how you work).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"3. Adding log copying to the sync","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"3. Adding log copying to the sync","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Patching the script now. New section copies","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.YYYY-MM-DD.*.log","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$NAS_MOUNT/logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Flat directory rather than nested under each day, so you can","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days easily.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Notes on the log copy behavior","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Notes on the log copy behavior","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Glob handles rotation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.$TARGET_DATE.*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"catches any future","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".1.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".2.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"files if Screenpipe ever rotates within a day.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"nullglob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensures we don't get a literal pattern when there's no match.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--ignore-existing","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": when you sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"today","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", the log is still being written. Default rsync (","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-a","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Flat","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"directory on NAS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": easier to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -h \"ERROR\" logs/*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After running the new sync once, you should see:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rsync logs → NAS ✓ 1 file(s), 553K","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The first run will populate the NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"folder with whatever local logs already exist for past dates as you re-sync them.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing to be aware of","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing to be aware of","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$HOME","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/.screenpipe\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-maxdepth","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-name","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"screenpipe.*.log\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-mtime +7 -delete","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"But only do that","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes I will add cleanup later along other retention logic.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes I will add cleanup later along other retention logic.","depth":21,"on_screen":false,"role_description":"text"}]...
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Relaunch to update v1.6608.0
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Screenpipe sync script failing after recent migrations, rename chat
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
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[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that
after
the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: yes I will add cleanup later along other retention logic.
You said: yes I will add cleanup later along other retention logic....
|
14724
|
NULL
|
NULL
|
NULL
|
|
14756
|
NULL
|
0
|
2026-05-10T18:21:08.297277+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437268297_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
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·
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chat","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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|
14754
|
NULL
|
NULL
|
NULL
|
|
14757
|
NULL
|
0
|
2026-05-10T18:21:08.370509+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437268370_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short....
|
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button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":21,"bounds":{"left":0.27027926,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.28224733,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. 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Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short....
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14755
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NULL
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NULL
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NULL
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14758
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657
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0
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2026-05-10T18:21:38.606316+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437298606_m1.jpg...
|
Claude
|
Claude
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS...
|
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sidebar","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New chat 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chat","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘N","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Projects","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Artifacts","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Customize","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Pinned","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"Bulgarian citizenship application process for EU residents","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Bulgarian citizenship application process for EU residents","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Dawarich location tracking project","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Dawarich location tracking project","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Recents","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"View all","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Monthly expense tracking","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Monthly expense tracking","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Exporting transaction data from Notion to finance hub","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Exporting transaction data from Notion to finance hub","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync script failing after recent migrations","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Screenpipe sync script failing after recent migrations","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"💬 How much have I spent for groc…","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for 💬 How much have I spent for groc…","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"April 2026 spending by category","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for April 2026 spending by category","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code diff review","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More 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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"}]...
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-5416996896946572480
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8369833502671799314
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idle
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14759
|
658
|
0
|
2026-05-10T18:21:38.708904+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437298708_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with...
|
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(pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for IDE work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concrete uses given your stack:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily activity summary","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": instead of \"spent 2h in PhpStorm\", you can group by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and get \"spent 2h in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app/Http/Controllers/ReportsController.php","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\" — directly tied to the JY-20458 work.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ticket correlation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path LIKE '%/reports/%'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to slice by feature area.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replaces some of the","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LIKE '%JY-%'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"fishing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": your hyphenated-token issue with FTS5 mostly comes up in OCR text. For \"what was I working on\",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"skips OCR entirely.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Worth adding an index on the NAS:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sql","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INDEX","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IF","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXISTS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"elements.on_screen — directly useful for the meeting detector","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"elements.on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— directly useful for the meeting detector","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"meeting-detector","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Zoom's accessibility tree exposes","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"everyone","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on the call, including names in collapsed roster panels. Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secret","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your setup, this maps well because:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"}]...
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idle
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14770
|
NULL
|
0
|
2026-05-10T18:24:19.052958+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437459052_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL...
|
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chat","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". 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Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14771
|
NULL
|
0
|
2026-05-10T18:24:19.084306+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437459084_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"bounds":{"left":0.0023271276,"top":0.025538707,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"bounds":{"left":0.0023271276,"top":0.026336791,"width":0.030917553,"height":0.013567438},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.0023271276,"top":0.027134877,"width":0.0026595744,"height":0.012769354}},{"char_start":1,"char_count":14,"bounds":{"left":0.004986702,"top":0.027134877,"width":0.02825798,"height":0.012769354}}],"role_description":"text"},{"role":"AXStaticText","text":"Click to 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these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for IDE work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concrete uses given your stack:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily activity summary","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": instead of \"spent 2h in PhpStorm\", you can group by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and get \"spent 2h in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app/Http/Controllers/ReportsController.php","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\" — directly tied to the JY-20458 work.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ticket correlation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path LIKE '%/reports/%'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to slice by feature area.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replaces some of the","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LIKE '%JY-%'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"fishing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": your hyphenated-token issue with FTS5 mostly comes up in OCR text. For \"what was I working on\",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"skips OCR entirely.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Worth adding an index on the NAS:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sql","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INDEX","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IF","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXISTS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"elements.on_screen — directly useful for the meeting detector","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"elements.on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— directly useful for the meeting detector","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"meeting-detector","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Zoom's accessibility tree exposes","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"everyone","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on the call, including names in collapsed roster panels. Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a","depth":25,"on_screen":false,"role_description":"text"}]...
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826437398267305587
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
Open in iTerm
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Give positive feedback
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
Retry
Edit
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14772
|
659
|
0
|
2026-05-10T18:26:44.250418+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437604250_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
Retry
Edit
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
Copy to clipboard
[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that
after
the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
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|
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. 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I can write this if you want — let me know which path you prefer (most likely B given how you work).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"3. Adding log copying to the sync","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"3. Adding log copying to the sync","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Patching the script now. New section copies","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.YYYY-MM-DD.*.log","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$NAS_MOUNT/logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Flat directory rather than nested under each day, so you can","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days easily.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Notes on the log copy behavior","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Notes on the log copy behavior","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Glob handles rotation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.$TARGET_DATE.*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"catches any future","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".1.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".2.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"files if Screenpipe ever rotates within a day.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"nullglob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensures we don't get a literal pattern when there's no match.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--ignore-existing","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": when you sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"today","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", the log is still being written. Default rsync (","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-a","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Flat","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"directory on NAS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": easier to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep -h \"ERROR\" logs/*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After running the new sync once, you should see:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rsync logs → NAS ✓ 1 file(s), 553K","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The first run will populate the NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"folder with whatever local logs already exist for past dates as you re-sync them.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing to be aware of","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing to be aware of","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$HOME","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/.screenpipe\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-maxdepth","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-name","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"screenpipe.*.log\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-mtime +7 -delete","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"But only do that","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
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bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/
directory on NAS
: easier to
grep -h "ERROR" logs/*.log
across days than walking nested per-date folders. If you'd rather have it under the date dir alongside frames, the change is one path swap.
After running the new sync once, you should see:
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[+XXmXXs] ▶ Copying screenpipe logs for 2026-05-07
rsync logs → NAS ✓ 1 file(s), 553K
The first run will populate the NAS
logs/
folder with whatever local logs already exist for past dates as you re-sync them.
One thing to be aware of
One thing to be aware of
The local logs directory will keep growing — Screenpipe doesn't appear to have a built-in retention for these (only for video chunks). If you want, you can add a small cleanup step to the script that removes Mac-side logs older than your retention window (7 days):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete
But only do that
after
the NAS copy step succeeds, so a NAS outage doesn't accidentally cause data loss. I haven't added it to the script — let me know if you want it in, and where (probably as a final post-summary step, only firing if the rsync above returned cleanly).
View Screenpipe sync
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|
14770
|
NULL
|
NULL
|
NULL
|
|
14773
|
660
|
0
|
2026-05-10T18:26:44.261192+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437604261_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
Copy
Give positive feedback
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Retry
You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
Retry
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):...
|
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button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":21,"bounds":{"left":0.27027926,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.28224733,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". 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Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"}]...
|
-8617464192020983973
|
7363349354699719698
|
idle
|
accessibility
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):...
|
14771
|
NULL
|
NULL
|
NULL
|
|
14813
|
NULL
|
0
|
2026-05-10T18:30:49.671893+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437849671_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/....
|
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(pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. 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Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. 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Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. 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The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"}]...
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4912478059928977986
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7207764059175437330
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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Give positive feedback
Give negative feedback
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
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Screenpipe sync
SH
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/....
|
14811
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NULL
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NULL
|
NULL
|
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14814
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NULL
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0
|
2026-05-10T18:31:16.474745+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437876474_m1.jpg...
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Claude
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Claude
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True
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monitor_1
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
Download all
Copy
Give positive feedback
Give negative feedback
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md...
|
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sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. 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Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. 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Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. 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Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. 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The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — Claude Code custom slash command (most ergonomic):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Claude Code reads","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.claude/commands/*.md","depth":26,"on_screen":false,"role_description":"text"}]...
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Relaunch to update v1.6608.0
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Screenpipe sync script failing after recent migrations, rename chat
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14815
|
662
|
0
|
2026-05-10T18:31:19.972905+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437879972_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to...
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lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. 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Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secret","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your setup, this maps well because:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14816
|
661
|
0
|
2026-05-10T18:31:46.808215+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778437906808_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Close
Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Click to collapse","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘B","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to resize","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Collapse sidebar","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New chat ⌘N","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"New chat","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘N","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Projects","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Artifacts","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Customize","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Pinned","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"Bulgarian citizenship application process for EU residents","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Bulgarian citizenship application process for EU residents","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Dawarich location tracking project","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Dawarich location tracking project","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Recents","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"View all","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync script failing after recent migrations","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Screenpipe sync script failing after recent migrations","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Monthly expense 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sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:...
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NULL
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NULL
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NULL
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14833
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NULL
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0
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2026-05-10T18:35:52.485809+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438152485_m2.jpg...
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Claude
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Claude
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True
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monitor_2
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NULL
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NULL
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
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#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt...
|
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these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... 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Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"}]...
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4795759243325616646
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8513948690210800658
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idle
|
accessibility
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NULL
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt...
|
14831
|
NULL
|
NULL
|
NULL
|
|
14834
|
NULL
|
0
|
2026-05-10T18:36:19.762027+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438179762_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash...
|
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. 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So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14835
|
664
|
0
|
2026-05-10T18:36:22.814586+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438182814_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
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·
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button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close","depth":21,"bounds":{"left":0.27027926,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.28224733,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. 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Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
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View Screenpipe sync
Screenpipe sync
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NULL
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NULL
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NULL
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NULL
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14836
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663
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0
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2026-05-10T18:36:50.068492+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438210068_m1.jpg...
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Claude
|
Claude
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True
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monitor_1
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
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bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
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bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Click to collapse","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘B","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to resize","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Collapse sidebar","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New chat ⌘N","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"New chat","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘N","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Projects","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Artifacts","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Customize","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Pinned","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"Bulgarian citizenship application process for EU residents","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Bulgarian citizenship application process for EU residents","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Dawarich location tracking project","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Dawarich location tracking project","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Recents","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"View all","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync script failing after recent migrations","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Screenpipe sync script failing after recent migrations","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Monthly expense tracking","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Monthly expense tracking","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Exporting transaction data from Notion to finance hub","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Exporting transaction data from Notion to finance hub","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"💬 How much have I spent for 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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. 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I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:16","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... 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Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — Claude Code custom slash command (most ergonomic):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Claude Code reads","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.claude/commands/*.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"as custom slash commands. Save the prompt there and invoke it as","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a Claude Code session:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mkdir","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-p ~/.claude/commands","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cp","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in Claude Code:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily 2026-05-09","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — wrapper script:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A small","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that takes a date arg and pipes the substituted prompt to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". I can write this if you want — let me know which path you prefer (most likely B given how you work).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"3. Adding log copying to the sync","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"3. Adding log copying to the sync","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Patching the script now. New section copies","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.YYYY-MM-DD.*.log","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$NAS_MOUNT/logs/","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Flat directory rather than nested under each day, so you can","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grep","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"across days easily.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Notes on the log copy behavior","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Notes on the log copy behavior","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Glob handles rotation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.$TARGET_DATE.*.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"catches any future","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".1.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".2.log","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"files if Screenpipe ever rotates within a day.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"nullglob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensures we don't get a literal pattern when there's no match.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--ignore-existing","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": when you sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"today","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", the log is still being written. Default rsync (","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-a","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Flat","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"logs/","depth":28,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.
Option C — wrapper script:
A small
~/.screenpipe/daily.sh
that takes a date arg and pipes the substituted prompt to
claude
. I can write this if you want — let me know which path you prefer (most likely B given how you work).
3. Adding log copying to the sync
3. Adding log copying to the sync
Patching the script now. New section copies
screenpipe.YYYY-MM-DD.*.log
to
$NAS_MOUNT/logs/
. Flat directory rather than nested under each day, so you can
grep
across days easily.
Edited a file, ran a command, read a file
Edited a file, ran a command, read a file
Notes on the log copy behavior
Notes on the log copy behavior
Glob handles rotation
:
screenpipe.$TARGET_DATE.*.log
catches any future
.1.log
,
.2.log
files if Screenpipe ever rotates within a day.
nullglob
ensures we don't get a literal pattern when there's no match.
No
--ignore-existing
: when you sync
today
, the log is still being written. Default rsync (
-a
) uses size+mtime to detect changes, so the next sync run will refresh it with the latest content.
Flat
logs/...
|
14834
|
NULL
|
NULL
|
NULL
|
|
14852
|
NULL
|
0
|
2026-05-10T18:40:52.676221+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438452676_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
Show more
13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap....
|
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chat","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. 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Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap....
|
14850
|
NULL
|
NULL
|
NULL
|
|
14853
|
NULL
|
0
|
2026-05-10T18:40:55.822576+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438455822_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:...
|
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resize","depth":16,"bounds":{"left":0.10239362,"top":0.62649643,"width":0.025930852,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.10239362,"top":0.62649643,"width":0.0029920214,"height":0.011971269}},{"char_start":1,"char_count":13,"bounds":{"left":0.10538564,"top":0.62649643,"width":0.022938829,"height":0.011971269}}],"role_description":"text"},{"role":"AXButton","text":"Collapse sidebar","depth":15,"bounds":{"left":0.030585106,"top":0.02952913,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search","depth":15,"bounds":{"left":0.03856383,"top":0.02952913,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"bounds":{"left":0.005984043,"top":0.06304868,"width":0.026263298,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"bounds":{"left":0.032579787,"top":0.06304868,"width":0.031914894,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"bounds":{"left":0.065159574,"top":0.06304868,"width":0.027260639,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New 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these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... 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Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:...
|
14851
|
NULL
|
NULL
|
NULL
|
|
14854
|
666
|
0
|
2026-05-10T18:42:10.646647+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438530646_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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claudecaltVIewWindow•• •Screenpipe sync script failing after recent migrationsQ, Chat= Cowork<> Codt+ New chat• Prolects00 Artitacts• customizeBulgarian citizenship application proces:Dawarich location tracking projectScreenpipe sync script talling arter receiMonthly expense trackingExporting transaction data from Notion@ How much have I spent for groc…April 2026 spending by categoryCode dift reviewHubSpot rate limit imolementation strateScreenbine retention policv code locaticViewing retention policy in screenpipeClean shot x video recording terminaticHubSpot rate limit handling with executea Screen pioe. s there abilitv.SMB mount access inconsistencv betweWhat is the best switch I can…Fermission deniea on screenpipe volumeScreenpipe sunc database attachment eLast swimming outing with DanilDefinition of incarceratedChromecast remote volume buttons notiRelaunch to updateik tukas. Proldon t like this solution. Think about it long term. Arterone week there will be lets say 10 gb of new data. l wantto move it to nas, clean it so the mac storage is notfilled. I will do that every week. How to ensure the datawill be usable without id duplication. Hvae two db is notreally good idea. It may be necessary in some point butthough once in 3 months. Tnink about it careruliv anosuggests solution. I need to be able to implement myown retention and clean de once a week. But want ohave alll data on nas nertectiv ticableArchitected composite-key schema for long-term data integrity ›You're right. Two databases is a workaround. Let me actuallvsolve thisThe real problem1d trom source is a tragile identitier — it oers reser on reinstali.can technically be reused if SOLite's autoincrement counter isclearea. But screenpipe already provides a stadle identiner:machine id — a UUID generated per install, stored on evervtrame row. lne pair (machine id, id) 1s globally unique, neverrancoc curvives reinctalleThe architecture fix is to make NAS use (machine id. id) asthe actual key, not just naively copy id.Prodosed NAS schemaframes(id, machine id, timestamp, app name, ...)PK: (machine id, id)Ul eventsPK: (machine id. id)(id. machine id, timestamp, frame id. ...)el ementsid machine id. frame io, teyt....)Pk• machine id. id ‹ machine id addedocr text(machine id. frame id, text....)PK: (machine id, frame id. ...) ¢ machine id addedframes and ui events already y machine id from source.elements and ocr text don't —uut thevreference frame idWrite a message…Opus 4.7 Adaptive vClaude ic Aland can make mictakec Plosce doublo-cheScreenpipe sync • SHcopyource dir)"— copy LncsI# screenpzpe wrates dally logs to~.screenpipe/screenpzpe.rrry-MM-DD.N.10# (N is a rotation counter, almost always 0). Mirror them to NAS so 1og# analysis can happenumer side wichouc soh'ing back co che ma463Scep "Copying screenpipe logs Tor STAKGEI DAIt"NAS LOGS="SNAS MOUNT/1ogs"mkdir -p "$NAS_LOGS"# Use a glob with nullglob so an empty match doesn't expand to a literal pshopt -s nuliglobLOG FTLES= "SHOME screenoipe/screenpine.STARGET DATE, "*10g "shopt -u nullalobif [ $(#LOG_FILES[@]} -gt 0 ]; thernrintf "%-36s " "rsync logs » NAS"# No --ignore-existing here: logs grow during the day, so we want rsyn# default size+mtime check to refresh files that have changed.rsync -a "${LOG_FILES[@]}" "$NAS LOGS/" 2>>"$LOG FILE"COPIED=${#LOG_FILES[@]}TOTAL SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)printf "v %d file(s), %s\n" "$COPIED" "$TOTAL SIZE" | tee -a "$LOG_FILE"printf"ogs)"%-36s %s\n" "rsync logs » NAS" "skipped (no matching 1SuMMADyTOTAL ELAPSED=S S(date +%s • SCRIPT START )0DB SIZE=S(du -sh "SNAS DB" | cut -f1)log "Archive DB size:$DB SIZE"1og "Total time:$ TOTAL ELAPSED 60 ms TOTAL ELAPSED % 60 ))1og "Sync complete for STARGET_DATE'# Mirror this script's own logbook to NAS so sync health can be monitored# from the consumer side. Done last so the summarv lines ahove are includersync -a "$HOME/.screenpipe/sync.log" "$NAS LOGS/sync.log" 2>/dev/null 1lPull requests • screenpipe/screenpipe • GitHubDNS / Nameservers | Hostingen@ Nginx Proxy ManagesScreenpipe - Archive(*SQLite Web: archive.db( SQLite Web: db.saliteGitHub - screenpipe/screenpipe: Run agents that worka) DYPAROOPI UIS-R55RA AFFINE - All In One KnowledaeOSAll docs • AFFiNE= Payments LoggeM Inbox (1) - [EMAIL] - Gmai(*) Location LoggerFinance Hub# Select: transaction imnorts - db - Adminelowtrnhhowinhowhtm5 April 2026 spendina by cateaory - Claude1 Iakulaklfinanca-huh - financa-huh - Giton. Git with 9cApplications - Admin - authentikЕлектронно банкиране ДСК Директ от Банка ДСК( Location Logge'40kalnas.lakylak.xyz/cesktop.os=ueosprotflelnetSSH100% L2. Sun 10 May 21:40:57а ай і 1вг6квмE Control Panel& User Management• File Service! DevicelConnection- Domain/LDAP|" Terminal|Hardware & Powerà Time & Lanquage7 Network( SecurityEc Indexing Servicel• AboutTask ManagerdMusicEnablePort |Advanced settings•EnablePortiShut down automaticallvIAdvanced settingsFunction description1h later2026-05-10 22:08 will automaticaliy shut downApplyDownloadcDLNAComiccSvnc & Backup...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN...
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. 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Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"}]...
|
-2901497326792823679
|
7219234715809203218
|
app_switch
|
accessibility
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14878
|
NULL
|
0
|
2026-05-10T18:46:07.865972+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438767865_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt...
|
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these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. 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I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. 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The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
3973082783107530145
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7784225361233626130
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visual_change
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accessibility
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NULL
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14879
|
NULL
|
0
|
2026-05-10T18:46:14.815651+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438774815_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Download all
Download all
Copy
Give positive feedback
Give negative feedback
Retry
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown....
|
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"12:06","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. 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I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. 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The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — Claude Code custom slash command (most ergonomic):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Claude Code reads","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.claude/commands/*.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"as custom slash commands. Save the prompt there and invoke it as","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a Claude Code session:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mkdir","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-p ~/.claude/commands","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cp","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in Claude Code:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/daily 2026-05-09","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and Claude will run the SQL queries via its bash tool against the DB and produce the markdown.","depth":25,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):
Claude Code reads
~/.claude/commands/*.md
as custom slash commands. Save the prompt there and invoke it as
/daily
from a Claude Code session:
Copy to clipboard
bash
mkdir
-p ~/.claude/commands
cp
~/.screenpipe/daily_activity_prompt.md ~/.claude/commands/daily.md
Then in Claude Code:
/daily 2026-05-09
and Claude will run the SQL queries via its bash tool against the DB and produce the markdown....
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14880
|
668
|
0
|
2026-05-10T18:46:32.090301+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438792090_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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13:08
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
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bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
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bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"bounds":{"left":0.0023271276,"top":0.025538707,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"bounds":{"left":0.0023271276,"top":0.026336791,"width":0.030917553,"height":0.013567438},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.0023271276,"top":0.027134877,"width":0.0026595744,"height":0.012769354}},{"char_start":1,"char_count":14,"bounds":{"left":0.004986702,"top":0.027134877,"width":0.02825798,"height":0.012769354}}],"role_description":"text"},{"role":"AXStaticText","text":"Click to 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these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... 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Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"grouping and notes the limitation.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One side-thought for your meeting detector: when you next iterate on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", swap the participant scan to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1 OR on_screen IS NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— old data still works, new data gets noise filtering for free. Same one-line change.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Daily activity prompt","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Daily activity prompt","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Document","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"·","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"MD","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Daily activity prompt","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in Windsurf","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Download all","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Download all","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll\ntotal 4612768\ndrwxr-xr-x 16 lukas staff 512 10 May 13:06 .\ndrwx------+ 94 lukas staff 3008 8 May 22:00 ..\n-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store\ndrwxr-xr-x 19 lukas staff 608 10 May 11:39 data\n-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite\n-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm\n-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal\ndrwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes\n-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log\n-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log\n-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log\n-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log\n-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log\n-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh\n-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh\n-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"13:08","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Three quick fixes.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three quick fixes.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Orchestrated solutions for permissions, prompt usage, and log synchronization","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three quick fixes. Let me handle them in order.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"1. Execute permissions + replace the old script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"1. Execute permissions + replace the old script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your existing script at","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+x screenpipe_sync_updated.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh screenpipe_sync.sh.bak","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mv","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you'd rather keep both around (e.g., to A/B test for a day), just do","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"chmod +x screenpipe_sync_updated.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and run it directly until you're happy, then swap.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"2. Where the daily activity prompt lives","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"2. Where the daily activity prompt lives","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"It's a Claude Code prompt template — input you feed to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to generate the daily summary. A few placement options, in increasing order of integration:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — manual invocation (simplest):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Save to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", then:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2026","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-05-09","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sed","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$TARGET_DATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-e","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"s|\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$DB_PATH","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|g\"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\\","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/daily_activity_prompt.md","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"|","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"claude","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — Claude Code custom slash command (most ergonomic):","depth":26,"on_screen":false,"role_description":"text"}]...
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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11:58
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
12:06
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
12:16
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to
window_name
grouping and notes the limitation.
One side-thought for your meeting detector: when you next iterate on
pipeline.py
, swap the participant scan to
WHERE on_screen = 1 OR on_screen IS NULL
— old data still works, new data gets noise filtering for free. Same one-line change.
View Daily activity prompt
Daily activity prompt
Document
·
MD
Open Daily activity prompt
Open in Windsurf
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
You said: I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.
I added lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ll
total 4612768
drwxr-xr-x 16 lukas staff 512 10 May 13:06 .
drwx------+ 94 lukas staff 3008 8 May 22:00 ..
-rw-r--r--@ 1 lukas staff 6148 10 May 11:39 .DS_Store
drwxr-xr-x 19 lukas staff 608 10 May 11:39 data
-rw-r--r--@ 1 lukas staff 2360483840 10 May 11:50 db.sqlite
-rw-r--r--@ 1 lukas staff 32768 10 May 11:50 db.sqlite-shm
-rw-r--r--@ 1 lukas staff 0 10 May 11:50 db.sqlite-wal
drwxr-xr-x 9 lukas staff 288 10 May 11:39 pipes
-rw-r--r-- 1 lukas staff 28408 6 May 21:02 screenpipe.2026-05-06.0.log
-rw-r--r-- 1 lukas staff 566164 7 May 21:50 screenpipe.2026-05-07.0.log
-rw-r--r-- 1 lukas staff 382102 8 May 22:20 screenpipe.2026-05-08.0.log
-rw-r--r-- 1 lukas staff 167023 9 May 23:04 screenpipe.2026-05-09.0.log
-rw-r--r-- 1 lukas staff 7751 10 May 11:37 screenpipe.2026-05-10.0.log
-rwxr-xr-x@ 1 lukas staff 14994 6 May 20:26 screenpipe_sync.sh
-rw-r--r-- 1 lukas staff 19713 10 May 13:06 screenpipe_sync_updated.sh
-rw-r--r--@ 1 lukas staff 4648 10 May 11:50 sync.log screepipe_sync_updated.sh. How to add it the rights to execute? Where is Daily activity prompt used? Also maybe lets include copying of logs to nas (like screenpipe.2026-05-10.0.log)
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Claude responded: Three quick fixes.
Claude responded: Three quick fixes.
Orchestrated solutions for permissions, prompt usage, and log synchronization
Orchestrated solutions for permissions, prompt usage, and log synchronization
Three quick fixes. Let me handle them in order.
1. Execute permissions + replace the old script
1. Execute permissions + replace the old script
Your existing script at
screenpipe_sync.sh
is what cron calls (if you have cron set up). Cleanest path is to back up the old one, then move the updated version into its place — keeps cron working without touching crontab:
Copy to clipboard
bash
cd
~/.screenpipe
chmod
+x screenpipe_sync_updated.sh
mv
screenpipe_sync.sh screenpipe_sync.sh.bak
mv
screenpipe_sync_updated.sh screenpipe_sync.sh
If you'd rather keep both around (e.g., to A/B test for a day), just do
chmod +x screenpipe_sync_updated.sh
and run it directly until you're happy, then swap.
2. Where the daily activity prompt lives
2. Where the daily activity prompt lives
It's a Claude Code prompt template — input you feed to
claude
to generate the daily summary. A few placement options, in increasing order of integration:
Option A — manual invocation (simplest):
Save to
~/.screenpipe/daily_activity_prompt.md
, then:
Copy to clipboard
bash
TARGET_DATE
=
2026
-05-09
DB_PATH
=
/Volumes/screenpipe/archive.db
sed
-e
"s|\
$TARGET_DATE
|
$TARGET_DATE
|g"
-e
"s|\
$DB_PATH
|
$DB_PATH
|g"
\
~/.screenpipe/daily_activity_prompt.md
|
claude
Option B — Claude Code custom slash command (most ergonomic):...
|
14878
|
NULL
|
NULL
|
NULL
|
|
14882
|
667
|
0
|
2026-05-10T18:46:42.957353+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438802957_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—...
|
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video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"11:58","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—...
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2026-05-10T18:49:36.941384+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438976941_m2.jpg...
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ClaudecaltVIewWindowmelp•• еQ, Chat= Cowork" ClaudecaltVIewWindowmelp•• еQ, Chat= Cowork" Coae+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectScreenpipe sync script talling arter recelMonthly expense trackingExporting transaction data from Notion tHow much have I spent for groc…April z0zo spending oy categorycode diff reviewnuospot rate limit imolementation strateScreenpipe retention policy code locaticViewing retention policy in screenpipeClean shot x video recording terminatiorHubSpot rate limit handling with executeUntitled@ Screen pine. Is there ability…SMB mount access inconsistencv betwe— What is the best switch I can..Permission denied on screenpipe volumeScreenpipe sync database attachment eLast swimming outing with DanChromecast remote volume buttons notiProjectsHealthWorkWork related chat. Laravel prolect with2 months agcGenealogy research assist..Claude rrolect ## Fro ect Description...2 months agoHow repairs1 month agcHome lab networkingNAS securitvlK Lukas. ProParamedicVirtual machine on Ugreen ..How to use claudenow-to guide Tor using claude. Cnat wit...Daily - Platform - in 11 h 56 m100% S2. Sun 10 May 21:49:36• nas.lakylak.xyz/desktop/?os=ugospro#Pull requests • screenpipe/screenpipe • GitHubDNS / Nameservers | Hostingen@ Nginx Proxy Manages@ Screenpipe — Archive(SQLite Web: archive.db( SQLite Web: db.saliteGitHub - screenpipe/screenpipe: Run agents that worka) DYPAROOPI UIS-R55RA AFFINE - All In One KnowledaeOSAll docs • AFFiNE= Payments LoggeM Inbox (1) - [EMAIL] - Gmaill(*) Location LoggerFinance Hub# Select: transaction imnorts - db - Adminelowtrnhhowinhowhtm5 April 2026 spendina by cateaory - Claude1 Iakulaklfinanco,hnh - financo.huh - Giton, Git with a cc Applications - Admin - authentikЕлектронно банкиране ДСК Директ от Банка ДСК( Location Logge'L New TalConnection & Access|& User Management |• File Service! DevicelConnection- Domain/LDAP|" Terminal|Hardware & Powerà Time & Lanquage7 Network( SecurityEc Indexing ServicelSorvicel• AboutTask ManagerMusiclelnetSSHE Control PanelEnablePort |Advanced settings•EnablePortiShut down automaticallvIAdvanced settingsFunction description1h later2026-05-10 22:08 will automaticaliy shut downApplyDownloadcDLNAComiccSvnc & Backup...
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ClaudecaltVIewWindowmelp•• еQ, Chat= Cowork" ClaudecaltVIewWindowmelp•• еQ, Chat= Cowork" Coae+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectScreenpipe sync script talling arter recelMonthly expense trackingExporting transaction data from Notion tHow much have I spent for groc…April z0zo spending oy categorycode diff reviewnuospot rate limit imolementation strateScreenpipe retention policy code locaticViewing retention policy in screenpipeClean shot x video recording terminatiorHubSpot rate limit handling with executeUntitled@ Screen pine. Is there ability…SMB mount access inconsistencv betwe— What is the best switch I can..Permission denied on screenpipe volumeScreenpipe sync database attachment eLast swimming outing with DanChromecast remote volume buttons notiProjectsHealthWorkWork related chat. Laravel prolect with2 months agcGenealogy research assist..Claude rrolect ## Fro ect Description...2 months agoHow repairs1 month agcHome lab networkingNAS securitvlK Lukas. ProParamedicVirtual machine on Ugreen ..How to use claudenow-to guide Tor using claude. Cnat wit...Daily - Platform - in 11 h 56 m100% S2. Sun 10 May 21:49:36• nas.lakylak.xyz/desktop/?os=ugospro#Pull requests • screenpipe/screenpipe • GitHubDNS / Nameservers | Hostingen@ Nginx Proxy Manages@ Screenpipe — Archive(SQLite Web: archive.db( SQLite Web: db.saliteGitHub - screenpipe/screenpipe: Run agents that worka) DYPAROOPI UIS-R55RA AFFINE - All In One KnowledaeOSAll docs • AFFiNE= Payments LoggeM Inbox (1) - [EMAIL] - Gmaill(*) Location LoggerFinance Hub# Select: transaction imnorts - db - Adminelowtrnhhowinhowhtm5 April 2026 spendina by cateaory - Claude1 Iakulaklfinanco,hnh - financo.huh - Giton, Git with a cc Applications - Admin - authentikЕлектронно банкиране ДСК Директ от Банка ДСК( Location Logge'L New TalConnection & Access|& User Management |• File Service! DevicelConnection- Domain/LDAP|" Terminal|Hardware & Powerà Time & Lanquage7 Network( SecurityEc Indexing ServicelSorvicel• AboutTask ManagerMusiclelnetSSHE Control PanelEnablePort |Advanced settings•EnablePortiShut down automaticallvIAdvanced settingsFunction description1h later2026-05-10 22:08 will automaticaliy shut downApplyDownloadcDLNAComiccSvnc & Backup...
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2026-05-10T18:49:37.019278+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438977019_m1.jpg...
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ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% (sshSun 10 May 21:49:36T81DOCKER• 81DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'. headers on-mode column-zsh• *4-zsh-- Are frame ids reused across capture eras?SELECT id, COUNT(*) AS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS datesFROM framesGROUP BY idHAVING copies > 1ORDER BY copies DESCLIMIT 10;-- How many frame ids overlap?SELECTCOUNT(*) AS total_frames,COUNT(DISTINCT id) AS unique_ids,COUNT(*) - COUNT(DISTINCT id) AS reused_idsFROM frames;-- What's the frame id range pre/post the gap?SELECTCASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS framesFROM framesGROUP BY era;SQLParse error near line 5: near "ORDER": syntax errorS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dateserror here ---^total_framesunique_ids reused_ids96749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87-zsh...
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ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% (sshSun 10 May 21:49:36T81DOCKER• 81DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'. headers on-mode column-zsh• *4-zsh-- Are frame ids reused across capture eras?SELECT id, COUNT(*) AS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS datesFROM framesGROUP BY idHAVING copies > 1ORDER BY copies DESCLIMIT 10;-- How many frame ids overlap?SELECTCOUNT(*) AS total_frames,COUNT(DISTINCT id) AS unique_ids,COUNT(*) - COUNT(DISTINCT id) AS reused_idsFROM frames;-- What's the frame id range pre/post the gap?SELECTCASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS framesFROM framesGROUP BY era;SQLParse error near line 5: near "ORDER": syntax errorS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dateserror here ---^total_framesunique_ids reused_ids96749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87-zsh...
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2026-05-11T04:54:39.563433+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778475279563_m1.jpg...
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ClaudeFileEditViewWindowHelp‹ >0 ll • | Daily - ClaudeFileEditViewWindowHelp‹ >0 ll • | Daily - Platform • in 1h 51 m-zshDOCKER• 1DEV (-zsh)0 82APP (-zsh)• *32026-04-206871426871420.02026-04-177053225920877053222026-04-165920870.00.02026-04-15886876886876 00.02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volumel/screenpipe/archive.db <<'SQL'.headers on-mode column-zsh• *4-zsh-- Are frame ids reused across capture eras?SELECT id, COUNT(*) AS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS datesFROM framesGROUP BY idHAVING copies > 1ORDER BY copies DESCLIMIT 10;-- How many frame ids overlap?SELECTCOUNT(*) AS total_frames,COUNT(DISTINCT id) AS unique_ids,COUNT(*) - COUNT(DISTINCT id) AS reused_idsFROM frames;-- What's the frame id range pre/post the gap?SELECTCASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS framesFROM framesGROUP BY era;SQLParse error near line 5: near "ORDER": syntax errorS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dateserror here---лtotal_framesunique_idsreused_ids96749era93310min_id3439max_idframespost-reinstall11147511475pre-reinstall80379505985274Adm1n@DXP4800PLUS-B5F8:~$ Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |• 85pmset• ₴6.-zsh100% C8• Mon 11 May 7:54:4418187-zsh₴8...
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ClaudeFileEditViewWindowHelp‹ >0 ll • | Daily - ClaudeFileEditViewWindowHelp‹ >0 ll • | Daily - Platform • in 1h 51 m-zshDOCKER• 1DEV (-zsh)0 82APP (-zsh)• *32026-04-206871426871420.02026-04-177053225920877053222026-04-165920870.00.02026-04-15886876886876 00.02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volumel/screenpipe/archive.db <<'SQL'.headers on-mode column-zsh• *4-zsh-- Are frame ids reused across capture eras?SELECT id, COUNT(*) AS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS datesFROM framesGROUP BY idHAVING copies > 1ORDER BY copies DESCLIMIT 10;-- How many frame ids overlap?SELECTCOUNT(*) AS total_frames,COUNT(DISTINCT id) AS unique_ids,COUNT(*) - COUNT(DISTINCT id) AS reused_idsFROM frames;-- What's the frame id range pre/post the gap?SELECTCASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS framesFROM framesGROUP BY era;SQLParse error near line 5: near "ORDER": syntax errorS copies,GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dateserror here---лtotal_framesunique_idsreused_ids96749era93310min_id3439max_idframespost-reinstall11147511475pre-reinstall80379505985274Adm1n@DXP4800PLUS-B5F8:~$ Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.Lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |• 85pmset• ₴6.-zsh100% C8• Mon 11 May 7:54:4418187-zsh₴8...
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2026-05-11T04:54:54.016064+00:00
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whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-10T23:27:31.985285Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-10T23:27:41.489329Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected
2026-05-10T23:27:42.161846Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)
2026-05-10T23:27:42.163527Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-10T23:27:42.164408Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)
2026-05-10T23:27:42.164471Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-10T23:27:42.164492Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)
2026-05-10T23:27:42.881174Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)
2026-05-10T23:27:43.285854Z INFO screenpipe_audio::transcription::handle_new_transcript: device soundcore AeroClip (input) skipping duplicate transcript (entire content overlaps with previous)
2026-05-10T23:27:58.189174Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)
2026-05-10T23:27:58.190264Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)
2026-05-10T23:27:58.190299Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: soundcore AeroClip (input)
2026-05-10T23:27:58.190324Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)
2026-05-10T23:27:58.190332Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)
2026-05-10T23:27:58.203316Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)
2026-05-10T23:28:32.063312Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected
2026-05-10T23:28:32.531328Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)
2026-05-10T23:28:32.531913Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-10T23:28:32.531933Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)
2026-05-10T23:28:32.532003Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)
2026-05-10T23:28:32.708770Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-10T23:28:32.708807Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-10T23:51:42.401532Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: sign in for higher AI quotas + cloud sync:
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T02:54:23.501609Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: get the screenpipe desktop app for the full experience
https://screenpi.pe
2026-05-11T07:21:22.702849Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)
2026-05-11T07:21:22.703351Z ERROR screenpipe_audio::audio_manager::device_monitor: failed to start new default input soundcore AeroClip (input): device soundcore AeroClip (input) not found (will back off)
2026-05-11T07:21:22.704671Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 1), starting default: soundcore AeroClip (input)
2026-05-11T07:21:22.704693Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 1): device soundcore AeroClip (input) not found
2026-05-11T07:21:23.587900Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)
2026-05-11T07:21:24.708381Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 2), starting default: soundcore AeroClip (input)
2026-05-11T07:21:24.708451Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 2): device soundcore AeroClip (input) not found
2026-05-11T07:21:26.711922Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 3), starting default: soundcore AeroClip (input)
2026-05-11T07:21:26.712001Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 3): device soundcore AeroClip (input) not found
2026-05-11T07:21:28.723900Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 4), starting default: soundcore AeroClip (input)
2026-05-11T07:21:28.726974Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)
2026-05-11T07:21:28.727134Z INFO screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] input device restored, device=soundcore AeroClip (input)
2026-05-11T07:21:28.972503Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)
2026-05-11T07:21:28.972538Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
2026-05-11T07:54:37.325769Z INFO screenpipe_en...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-10T23:27:31.985285Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-10T23:27:41.489329Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected\n2026-05-10T23:27:42.161846Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)\n2026-05-10T23:27:42.163527Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-10T23:27:42.164408Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)\n2026-05-10T23:27:42.164471Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-10T23:27:42.164492Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)\n2026-05-10T23:27:42.881174Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)\n2026-05-10T23:27:43.285854Z INFO screenpipe_audio::transcription::handle_new_transcript: device soundcore AeroClip (input) skipping duplicate transcript (entire content overlaps with previous)\n2026-05-10T23:27:58.189174Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)\n2026-05-10T23:27:58.190264Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-05-10T23:27:58.190299Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: soundcore AeroClip (input)\n2026-05-10T23:27:58.190324Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)\n2026-05-10T23:27:58.190332Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)\n2026-05-10T23:27:58.203316Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)\n2026-05-10T23:28:32.063312Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected\n2026-05-10T23:28:32.531328Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)\n2026-05-10T23:28:32.531913Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-10T23:28:32.531933Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)\n2026-05-10T23:28:32.532003Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)\n2026-05-10T23:28:32.708770Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-10T23:28:32.708807Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-10T23:51:42.401532Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T02:54:23.501609Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe\n\n2026-05-11T07:21:22.702849Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)\n2026-05-11T07:21:22.703351Z ERROR screenpipe_audio::audio_manager::device_monitor: failed to start new default input soundcore AeroClip (input): device soundcore AeroClip (input) not found (will back off)\n2026-05-11T07:21:22.704671Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 1), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:22.704693Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 1): device soundcore AeroClip (input) not found\n2026-05-11T07:21:23.587900Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)\n2026-05-11T07:21:24.708381Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 2), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:24.708451Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 2): device soundcore AeroClip (input) not found\n2026-05-11T07:21:26.711922Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 3), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:26.712001Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 3): device soundcore AeroClip (input) not found\n2026-05-11T07:21:28.723900Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 4), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:28.726974Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-05-11T07:21:28.727134Z INFO screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] input device restored, device=soundcore AeroClip (input)\n2026-05-11T07:21:28.972503Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)\n2026-05-11T07:21:28.972538Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\n2026-05-11T07:54:37.325769Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T07:54:37.395897Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T07:54:37.716552Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for soundcore AeroClip (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T07:54:37.848027Z WARN screenpipe_audio::audio_manager::manager: recording for device soundcore AeroClip (input) exited with error: stream rebuild required after screen unlock for soundcore AeroClip (input) (recovery is automatic via device_monitor)\n2026-05-11T07:54:38.122040Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for soundcore AeroClip (input), cleaning up for restart\n2026-05-11T07:54:38.122133Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-05-11T07:54:38.359253Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-05-11T07:54:38.359387Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: soundcore AeroClip (input)\n2026-05-11T07:54:38.359454Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T07:54:38.859645Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 2 disconnected, stopping recording\n2026-05-11T07:54:38.859753Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 2\n2026-05-11T07:54:39.562590Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T07:54:43.369378Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T07:54:44.338317Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-11T07:54:44.740316Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: day rollover (130 -> 131), clearing cache","depth":4,"on_screen":true,"value":"whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-10T23:27:31.985285Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-10T23:27:41.489329Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected\n2026-05-10T23:27:42.161846Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)\n2026-05-10T23:27:42.163527Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-10T23:27:42.164408Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)\n2026-05-10T23:27:42.164471Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-10T23:27:42.164492Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)\n2026-05-10T23:27:42.881174Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)\n2026-05-10T23:27:43.285854Z INFO screenpipe_audio::transcription::handle_new_transcript: device soundcore AeroClip (input) skipping duplicate transcript (entire content overlaps with previous)\n2026-05-10T23:27:58.189174Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)\n2026-05-10T23:27:58.190264Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-05-10T23:27:58.190299Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: soundcore AeroClip (input)\n2026-05-10T23:27:58.190324Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)\n2026-05-10T23:27:58.190332Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)\n2026-05-10T23:27:58.203316Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)\n2026-05-10T23:28:32.063312Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected\n2026-05-10T23:28:32.531328Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)\n2026-05-10T23:28:32.531913Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-10T23:28:32.531933Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)\n2026-05-10T23:28:32.532003Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)\n2026-05-10T23:28:32.708770Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-10T23:28:32.708807Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-10T23:51:42.401532Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T02:54:23.501609Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe\n\n2026-05-11T07:21:22.702849Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)\n2026-05-11T07:21:22.703351Z ERROR screenpipe_audio::audio_manager::device_monitor: failed to start new default input soundcore AeroClip (input): device soundcore AeroClip (input) not found (will back off)\n2026-05-11T07:21:22.704671Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 1), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:22.704693Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 1): device soundcore AeroClip (input) not found\n2026-05-11T07:21:23.587900Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)\n2026-05-11T07:21:24.708381Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 2), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:24.708451Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 2): device soundcore AeroClip (input) not found\n2026-05-11T07:21:26.711922Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 3), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:26.712001Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 3): device soundcore AeroClip (input) not found\n2026-05-11T07:21:28.723900Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 4), starting default: soundcore AeroClip (input)\n2026-05-11T07:21:28.726974Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-05-11T07:21:28.727134Z INFO screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] input device restored, device=soundcore AeroClip (input)\n2026-05-11T07:21:28.972503Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)\n2026-05-11T07:21:28.972538Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\n2026-05-11T07:54:37.325769Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T07:54:37.395897Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T07:54:37.716552Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for soundcore AeroClip (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T07:54:37.848027Z WARN screenpipe_audio::audio_manager::manager: recording for device soundcore AeroClip (input) exited with error: stream rebuild required after screen unlock for soundcore AeroClip (input) (recovery is automatic via device_monitor)\n2026-05-11T07:54:38.122040Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for soundcore AeroClip (input), cleaning up for restart\n2026-05-11T07:54:38.122133Z INFO screenpipe_audio::device::device_manager: Stopping device: soundcore AeroClip (input)\n2026-05-11T07:54:38.359253Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)\n2026-05-11T07:54:38.359387Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: soundcore AeroClip (input)\n2026-05-11T07:54:38.359454Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T07:54:38.859645Z INFO screenpipe_engine::vision_manager::monitor_watcher: Monitor 2 disconnected, stopping recording\n2026-05-11T07:54:38.859753Z INFO screenpipe_engine::vision_manager::manager: Stopping vision recording for monitor 2\n2026-05-11T07:54:39.562590Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T07:54:43.369378Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T07:54:44.338317Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-11T07:54:44.740316Z INFO screenpipe_engine::hot_frame_cache: hot_frame_cache: day rollover (130 -> 131), clearing cache","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.12291667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.12708333,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.24583334,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.25,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.36875,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.37291667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.49166667,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49583334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6145833,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.61875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.7375,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7416667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.86041665,"top":0.05888889,"width":0.12291667,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.8645833,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47083333,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-7753641314521957899
|
-816202935197436448
|
visual_change
|
accessibility
|
NULL
|
whisper_backend_init_gpu: found GPU device 0: Meta whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-10T23:27:31.985285Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-10T23:27:41.489329Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected
2026-05-10T23:27:42.161846Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)
2026-05-10T23:27:42.163527Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-10T23:27:42.164408Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)
2026-05-10T23:27:42.164471Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-10T23:27:42.164492Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)
2026-05-10T23:27:42.881174Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)
2026-05-10T23:27:43.285854Z INFO screenpipe_audio::transcription::handle_new_transcript: device soundcore AeroClip (input) skipping duplicate transcript (entire content overlaps with previous)
2026-05-10T23:27:58.189174Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)
2026-05-10T23:27:58.190264Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)
2026-05-10T23:27:58.190299Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: soundcore AeroClip (input)
2026-05-10T23:27:58.190324Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)
2026-05-10T23:27:58.190332Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)
2026-05-10T23:27:58.203316Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)
2026-05-10T23:28:32.063312Z ERROR screenpipe_audio::core::stream: an error occurred on the audio stream: device disconnected
2026-05-10T23:28:32.531328Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: MacBook Pro Microphone (input)
2026-05-10T23:28:32.531913Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-10T23:28:32.531933Z INFO screenpipe_audio::audio_manager::device_monitor: switched to new system default input: MacBook Pro Microphone (input)
2026-05-10T23:28:32.532003Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for soundcore AeroClip (input)
2026-05-10T23:28:32.708770Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-10T23:28:32.708807Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for MacBook Pro Microphone (input)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-10T23:51:42.401532Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T02:54:23.501609Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: get the screenpipe desktop app for the full experience
https://screenpi.pe
2026-05-11T07:21:22.702849Z INFO screenpipe_audio::audio_manager::device_monitor: system default input changed to: soundcore AeroClip (input)
2026-05-11T07:21:22.703351Z ERROR screenpipe_audio::audio_manager::device_monitor: failed to start new default input soundcore AeroClip (input): device soundcore AeroClip (input) not found (will back off)
2026-05-11T07:21:22.704671Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 1), starting default: soundcore AeroClip (input)
2026-05-11T07:21:22.704693Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 1): device soundcore AeroClip (input) not found
2026-05-11T07:21:23.587900Z INFO screenpipe_audio::core::run_record_and_transcribe: stopped recording for MacBook Pro Microphone (input)
2026-05-11T07:21:24.708381Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 2), starting default: soundcore AeroClip (input)
2026-05-11T07:21:24.708451Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 2): device soundcore AeroClip (input) not found
2026-05-11T07:21:26.711922Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 3), starting default: soundcore AeroClip (input)
2026-05-11T07:21:26.712001Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] failed to start input device soundcore AeroClip (input) (attempt 3): device soundcore AeroClip (input) not found
2026-05-11T07:21:28.723900Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] no input device running (attempt 4), starting default: soundcore AeroClip (input)
2026-05-11T07:21:28.726974Z INFO screenpipe_audio::device::device_manager: starting recording for device: soundcore AeroClip (input)
2026-05-11T07:21:28.727134Z INFO screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] input device restored, device=soundcore AeroClip (input)
2026-05-11T07:21:28.972503Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for soundcore AeroClip (input) (bluetooth / 30s segments)
2026-05-11T07:21:28.972538Z INFO screenpipe_audio::core::run_record_and_transcribe: screen locked, pausing audio recording for soundcore AeroClip (input)
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
2026-05-11T07:54:37.325769Z INFO screenpipe_en...
|
14918
|
NULL
|
NULL
|
NULL
|
|
14920
|
670
|
0
|
2026-05-11T06:06:19.392278+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479579392_m1.jpg...
|
Notion Calendar
|
NULL
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
iTerm2Shell• 0DOCKERapi authencrypt secretsretenti iTerm2Shell• 0DOCKERapi authencrypt secretsretention daysretention modelanguagesEditViewSessionScriptsProfilesWindowHelpDaily - Platform • in 39 m• 881DEV (-zsh)enableddisabled14O 82APP (-zsh)media-only (keep transcripts)• *3-zshscreenpipe"• ×4-zsh• ₴5|screenpipe*886-zsh100% <8• Mon 11 May 9:06:2118187-zsh*8+all languagesmonitorsid: 1id: 2audio devicessoundcore AeroClip (input)System Audio (output)you are using local processing. all your data stays on your computer.warning: telemetry is enabled. only error-level data will be sent.to disable, use the --disable-telemetry flag.check latest changes here: https://github.com/screenpipe/screenpipe/releases2026-05-11T09:06:16.409138ZINFO screenpipe: starting UI event capture2026-05-11T09:06:16.408692ZINFOscreenpipe_core::pipes:pipe scheduler started (generation 2)2026-05-11T09:06:16.413613ZWARNscreenpipe:piagent install failed: bun not found - installfrom https://bun.sh2026-05-11T09:06:16.415157ZINFOscreenpipe_engine::power::manager:initial power profile:Performance2026-05-11T09:06:16.423358ZINFOCon_ac=true, battery=Some(100))screenpipe_engine::ui_recorder: Starting UI2026-05-11T09:06:16.437722ZINFOscreenpipe_engine::calendar_speaker_id: speaker identification: started(user_name=<not set>)2026-05-11T09:06:16.437713ZINFOscreenpipe_engine::ui_recorder: UI recording session started: d42b8b31-1886-4817-bb21-01c53354434e2026-05-11T09:06:16.437981ZINFOscreenpipe_engine::hot_frame_cache: hot_frame_cache: warming(2026-05-10 06:06:16.437979 UTC to 2026-05-11 06:06:16.437979 UTC)2026-05-11709:06:16.4383572INFO2026-05-11T09:06:16.446170ZINFOscreenpipe_engine::meeting_detector: meeting V2: detection loop started (base_interval=5s, profiles=12)2026-05-11T09:06:16.450650ZINFOscreenpipe_engine::server: Server listening on [IP_ADDRESS]:3030screenpipe_connect::mdns: mdns: advertising screenpipe on port 30302026-05-11709:06:16.7635302INFOscreenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 380 frame entries, coverage from 2026-05-10 06:06:16.437979 UTC2026-05-11T09:06:18.890147ZINFOscreenpipe_engine::vision_manager::manager: Starting vision recordingfor monitor 1 (1440x900)2026-05-11T09:06:18.890201ZINFOscreenpipe_engine::vision_manager::manager: Starting event-driven capture formonitor 1 (device: monitor_1)2026-05-11T09:06:18.890230ZINFO2026-05-11T09:06:19.779724ZINFOscreenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)screenpipe_engine::vision_manager::manager: Starting vision recordingfor monitor 2 (3008x1253)2026-05-11T09:06:19.779774ZINFOscreenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)2026-05-11T09:06:19.779785ZINFOscreenpipe_engine::vision_manager::manager: VisionManagerstarted with 2/2 monitor(s)2026-05-11T09:06:19.779792ZINFOscreenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstoppoll)2026-05-11T09:06:19.779831Z2026-05-11T09:06:21.291749ZINFOscreenpipe_engine::event_driven_capture: event-driven capture startedfor monitor 2 (device: monitor_2)INFO sck_rs::stream_manager:persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)...
|
NULL
|
1186871664181787564
|
NULL
|
manual
|
ocr
|
NULL
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iTerm2Shell• 0DOCKERapi authencrypt secretsretenti iTerm2Shell• 0DOCKERapi authencrypt secretsretention daysretention modelanguagesEditViewSessionScriptsProfilesWindowHelpDaily - Platform • in 39 m• 881DEV (-zsh)enableddisabled14O 82APP (-zsh)media-only (keep transcripts)• *3-zshscreenpipe"• ×4-zsh• ₴5|screenpipe*886-zsh100% <8• Mon 11 May 9:06:2118187-zsh*8+all languagesmonitorsid: 1id: 2audio devicessoundcore AeroClip (input)System Audio (output)you are using local processing. all your data stays on your computer.warning: telemetry is enabled. only error-level data will be sent.to disable, use the --disable-telemetry flag.check latest changes here: https://github.com/screenpipe/screenpipe/releases2026-05-11T09:06:16.409138ZINFO screenpipe: starting UI event capture2026-05-11T09:06:16.408692ZINFOscreenpipe_core::pipes:pipe scheduler started (generation 2)2026-05-11T09:06:16.413613ZWARNscreenpipe:piagent install failed: bun not found - installfrom https://bun.sh2026-05-11T09:06:16.415157ZINFOscreenpipe_engine::power::manager:initial power profile:Performance2026-05-11T09:06:16.423358ZINFOCon_ac=true, battery=Some(100))screenpipe_engine::ui_recorder: Starting UI2026-05-11T09:06:16.437722ZINFOscreenpipe_engine::calendar_speaker_id: speaker identification: started(user_name=<not set>)2026-05-11T09:06:16.437713ZINFOscreenpipe_engine::ui_recorder: UI recording session started: d42b8b31-1886-4817-bb21-01c53354434e2026-05-11T09:06:16.437981ZINFOscreenpipe_engine::hot_frame_cache: hot_frame_cache: warming(2026-05-10 06:06:16.437979 UTC to 2026-05-11 06:06:16.437979 UTC)2026-05-11709:06:16.4383572INFO2026-05-11T09:06:16.446170ZINFOscreenpipe_engine::meeting_detector: meeting V2: detection loop started (base_interval=5s, profiles=12)2026-05-11T09:06:16.450650ZINFOscreenpipe_engine::server: Server listening on [IP_ADDRESS]:3030screenpipe_connect::mdns: mdns: advertising screenpipe on port 30302026-05-11709:06:16.7635302INFOscreenpipe_engine::hot_frame_cache: hot_frame_cache: warmed with 380 frame entries, coverage from 2026-05-10 06:06:16.437979 UTC2026-05-11T09:06:18.890147ZINFOscreenpipe_engine::vision_manager::manager: Starting vision recordingfor monitor 1 (1440x900)2026-05-11T09:06:18.890201ZINFOscreenpipe_engine::vision_manager::manager: Starting event-driven capture formonitor 1 (device: monitor_1)2026-05-11T09:06:18.890230ZINFO2026-05-11T09:06:19.779724ZINFOscreenpipe_engine::event_driven_capture: event-driven capture started for monitor 1 (device: monitor_1)screenpipe_engine::vision_manager::manager: Starting vision recordingfor monitor 2 (3008x1253)2026-05-11T09:06:19.779774ZINFOscreenpipe_engine::vision_manager::manager: Starting event-driven capture for monitor 2 (device: monitor_2)2026-05-11T09:06:19.779785ZINFOscreenpipe_engine::vision_manager::manager: VisionManagerstarted with 2/2 monitor(s)2026-05-11T09:06:19.779792ZINFOscreenpipe_engine::vision_manager::monitor_watcher: Starting monitor watcher (event-driven via CGDisplayRegisterReconfigurationCallback, 60s backstoppoll)2026-05-11T09:06:19.779831Z2026-05-11T09:06:21.291749ZINFOscreenpipe_engine::event_driven_capture: event-driven capture startedfor monitor 2 (device: monitor_2)INFO sck_rs::stream_manager:persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14921
|
671
|
0
|
2026-05-11T06:06:20.281921+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479580281_m2.jpg...
|
Alfred
|
Alfred
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Alfred Search Field
|
[{"role":"AXTextField","text [{"role":"AXTextField","text":"Alfred Search Field","depth":1,"on_screen":true,"help_text":"Alfred Search","role_description":"text field","is_enabled":true,"is_focused":true}]...
|
7926243118367575
|
7570943109877468232
|
manual
|
hybrid
|
NULL
|
Alfred Search Field
Notion CalendarcaltVIewWindowH Alfred Search Field
Notion CalendarcaltVIewWindowHelp0, Chat= Cowork‹/> Code+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectScreenpipe sync script talling arter recelMonthly expense trackingExporting transaction data from Notion® How much have I spent for groc...April 2026 spending by categoryCode diff reviewnuospot rate limit imolementation strateScreenpipe retention policy code locatio!Viewing retention policy in screenpipeClean shot x video recording terminationHubSpot rate limit handling with executeUntitled@ Screen pine. Is there ability…SMB mount access inconsistencv betweWhat is the best switch I can….Permission denied on screenpipe volumeScreenpipe svnc database attachment eLast swimming outing with Dan.Chromecast remote volume buttons noti000ma0May 2026 Week20Mon (11Chloe Cross (Parental Leave - 256 days)Andrea Llatanova (Parental Leave - Tos days)Michelle Weston (PTO - 5 days)(Mira Lenkova (PTO - 3 days)Tue 12Platform Office Day* Coffee and Claude time06:00|How can I help you today?& WriteLearn" Code• Life stuffOpus 4.7 AdQ Claude's c10:00 Daily - Platform 094511:0012:00|Daily - Platform 00:1517:0018:00lK Lukas. Pro$0hellDally - Platrorm • in 35mWeek vSatloSun 17Thu 14(James Graham (PTO - 2 days)( Liz Mulraney (PTO - 1 day)Fri15100% S2Mon 11 May 9:00.23-a Search eventsDallv - Plattorm09:45-10:05 20minJoin Google MeetUseful shortcutsCommand menuMenu bar calendarcontrol* KTogale sidebarGo to dateAll keyboara snortcutsDaily - Platform 09:45Se3sion) Plannin l Mid Sorint Cheaalehllwe?elaantewDaynny TechBackend Chapter10:00 - 18:00Support Daily 15:00Support Daily 15:00Support Daily 15:0...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14955
|
NULL
|
0
|
2026-05-11T06:07:19.571542+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479639571_m1.jpg...
|
Firefox
|
Inbox (1) - kovaliklukas@gmail.com - Gmail — Perso Inbox (1) - kovaliklukas@gmail.com - Gmail — Personal...
|
True
|
mail.google.com/mail/u/0/#inbox
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Pull requests · screenpipe/screenpipe · GitHub
Pul Pull requests · screenpipe/screenpipe · GitHub
Pull requests · screenpipe/screenpipe · GitHub
DNS / Nameservers | Hostinger
DNS / Nameservers | Hostinger
Nginx Proxy Manager
Nginx Proxy Manager
Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
AFFiNE - All In One KnowledgeOS
AFFiNE - All In One KnowledgeOS
All docs · AFFiNE
All docs · AFFiNE
Payments Logger
Payments Logger
Inbox (1) - [EMAIL] - Gmail
Inbox (1) - [EMAIL] - Gmail
Close tab
Location Logger
Location Logger
Finance Hub
Finance Hub
Select: transaction_imports - db - Adminer
Select: transaction_imports - db - Adminer
Claude Code | Claude Platform
Claude Code | Claude Platform
April 2026 spending by category - Claude
April 2026 spending by category - Claude
lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
Applications - Admin - authentik
Applications - Admin - authentik
Електронно банкиране ДСК Директ от Банка ДСК
Електронно банкиране ДСК Директ от Банка ДСК
Location Logger
Location Logger
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Using Gmail with screen readers
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Google Account: Lukáš Koválik ([EMAIL])
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GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
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lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
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LinkedIn Job Alerts, Back End Software Engineer at MANUAL, 08:32, MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏.
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Back End Software Engineer at MANUAL - MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Back End Software Engineer at MANUAL
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MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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unread, Apple, Your invoice from Apple., 03:49, Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX.
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Your invoice from Apple. - Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX
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Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX
Quora Suggested Spa., Genocide in Russia!!, 21:23, Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,.
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Genocide in Russia!! - Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
Genocide in Russia!!
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Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
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RescueTime Team, 15h 39m of Software Development this week - RescueTime Weekly Summary, 10 May, Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'.
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15h 39m of Software Development this week - RescueTime Weekly Summary - Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
15h 39m of Software Development this week - RescueTime Weekly Summary
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Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
10 May
Google Maps, Via Dental Studio – Стрелбище replied to your review on Google, 9 May, A business that you reviewed has responded to your post Via Dental Studio – Стрелбище replied to your review Thank you for posting a review on Google. Lukáš You only left a rating Response from the.
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Via Dental Studio – Стрелбище replied to your review on Google - A business that you reviewed has responded to your post Via Dental Studio – Стрелбище replied to your review Thank you for posting a review on Google. Lukáš You only left a rating Response from the
Via Dental Studio – Стрелбище replied to your review on Google
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A business that you reviewed has responded to your post Via Dental Studio – Стрелбище replied to your review Thank you for posting a review on Google. Lukáš You only left a rating Response from the
9 May
Quora Suggested Spa., ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia’s General Staff..., 9 May, ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia's General Staff indicating that, despite heavy battlefield losses.
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Quora Suggested Spa.
ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia’s General Staff... - ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia's General Staff indicating that, despite heavy battlefield losses
ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia’s General Staff...
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ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia's General Staff indicating that, despite heavy battlefield losses
9 May
XDA, Your old PC can run Windows 11 in a VM, but not on bare metal, 9 May, XDA Logo May 9, 2026 The weekend is here! And so is our latest batch of articles for you. You probably know that Windows 11 dropped support for a lot of older PCs, but did you know that those same PCs.
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Your old PC can run Windows 11 in a VM, but not on bare metal - XDA Logo May 9, 2026 The weekend is here! And so is our latest batch of articles for you. You probably know that Windows 11 dropped support for a lot of older PCs, but did you know that those same PCs
Your old PC can run Windows 11 in a VM, but not on bare metal
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XDA Logo May 9, 2026 The weekend is here! And so is our latest batch of articles for you. You probably know that Windows 11 dropped support for a lot of older PCs, but did you know that those same PCs
9 May
Chelsea with IFTTT, 6 ways people are making their week easier , 9 May, The automations you didn't know you were missing. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏.
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Chelsea with IFTTT
6 ways people are making their week easier ✨ - The automations you didn't know you were missing. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
6 ways people are making their week easier
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The automations you didn't know you were missing. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
9 May
Google tips and upd., Lukáš, try three tips for easier sign-ins., 9 May, Create strong passwords instantly, add a backup friend and sign in faster with Google. .
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Lukáš, try three tips for easier sign-ins. - Create strong passwords instantly, add a backup friend and sign in faster with Google.
Lukáš, try three tips for easier sign-ins.
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Create strong passwords instantly, add a backup friend and sign in faster with Google.
9 May
Quora Suggested Spa., I was cheating on my husband of 18 years with his own friend and after 2 years, my husband caught me. How can I make this go away from his mind an...?, 8 May, As a psychologist, I'll give you some honest feedback without being crue… The Betrayed Spouse's Space and Community The Betrayed Spouse's Space and Community • 6.6K followers Help, Support.
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I was cheating on my husband of 18 years with his own friend and after 2 years, my husband caught me. How can I make this go away from his mind an...? - As a psychologist, I'll give you some honest feedback without being crue… The Betrayed Spouse's Space and Community The Betrayed Spouse's Space and Community • 6.6K followers Help, Support
I was cheating on my husband of 18 years with his own friend and after 2 years, my husband caught me. How can I make this go away from his mind an...?
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As a psychologist, I'll give you some honest feedback without being crue… The Betrayed Spouse's Space and Community The Betrayed Spouse's Space and Community • 6.6K followers Help, Support
8 May
Google, Security alert, 8 May, A new sign-in on Apple iPhone [EMAIL] We noticed a new sign-in to your Google Account on a Apple iPhone device. If this was you, you don't need to do anything. If not, we'll help.
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Security alert - A new sign-in on Apple iPhone [EMAIL] We noticed a new sign-in to your Google Account on a Apple iPhone device. If this was you, you don't need to do anything. If not, we'll help...
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If this was you, you don't need to do anything. If not, we'll help","depth":18,"bounds":{"left":0.30053192,"top":0.40622506,"width":0.14428191,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
|
-6801610734081259190
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-9171883464535172399
|
visual_change
|
accessibility
|
NULL
|
Pull requests · screenpipe/screenpipe · GitHub
Pul Pull requests · screenpipe/screenpipe · GitHub
Pull requests · screenpipe/screenpipe · GitHub
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LinkedIn Job Alerts, Back End Software Engineer at MANUAL, 08:32, MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏.
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LinkedIn Job Alerts
Back End Software Engineer at MANUAL - MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Back End Software Engineer at MANUAL
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MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
08:32
unread, Apple, Your invoice from Apple., 03:49, Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX.
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Apple
Your invoice from Apple. - Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX
Your invoice from Apple.
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Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX
Quora Suggested Spa., Genocide in Russia!!, 21:23, Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,.
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Quora Suggested Spa.
Genocide in Russia!! - Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
Genocide in Russia!!
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Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
21:23
RescueTime Team, 15h 39m of Software Development this week - RescueTime Weekly Summary, 10 May, Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'.
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15h 39m of Software Development this week - RescueTime Weekly Summary - Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
15h 39m of Software Development this week - RescueTime Weekly Summary
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Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
10 May
Google Maps, Via Dental Studio – Стрелбище replied to your review on Google, 9 May, A business that you reviewed has responded to your post Via Dental Studio – Стрелбище replied to your review Thank you for posting a review on Google. Lukáš You only left a rating Response from the.
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Google Maps
Via Dental Studio – Стрелбище replied to your review on Google - A business that you reviewed has responded to your post Via Dental Studio – Стрелбище replied to your review Thank you for posting a review on Google. Lukáš You only left a rating Response from the
Via Dental Studio – Стрелбище replied to your review on Google
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A business that you reviewed has responded to your post Via Dental Studio – Стрелбище replied to your review Thank you for posting a review on Google. Lukáš You only left a rating Response from the
9 May
Quora Suggested Spa., ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia’s General Staff..., 9 May, ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia's General Staff indicating that, despite heavy battlefield losses.
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Quora Suggested Spa.
ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia’s General Staff... - ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia's General Staff indicating that, despite heavy battlefield losses
ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia’s General Staff...
-
ZELENSKYY SAYS RUSSIA PLANS EXPANDED MOBILIZATION Zelenskyy said Ukrainian intelligence has obtained internal documents from Russia's General Staff indicating that, despite heavy battlefield losses
9 May
XDA, Your old PC can run Windows 11 in a VM, but not on bare metal, 9 May, XDA Logo May 9, 2026 The weekend is here! And so is our latest batch of articles for you. You probably know that Windows 11 dropped support for a lot of older PCs, but did you know that those same PCs.
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XDA
Your old PC can run Windows 11 in a VM, but not on bare metal - XDA Logo May 9, 2026 The weekend is here! And so is our latest batch of articles for you. You probably know that Windows 11 dropped support for a lot of older PCs, but did you know that those same PCs
Your old PC can run Windows 11 in a VM, but not on bare metal
-
XDA Logo May 9, 2026 The weekend is here! And so is our latest batch of articles for you. You probably know that Windows 11 dropped support for a lot of older PCs, but did you know that those same PCs
9 May
Chelsea with IFTTT, 6 ways people are making their week easier , 9 May, The automations you didn't know you were missing. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏.
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Chelsea with IFTTT
6 ways people are making their week easier ✨ - The automations you didn't know you were missing. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
6 ways people are making their week easier
-
The automations you didn't know you were missing. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
9 May
Google tips and upd., Lukáš, try three tips for easier sign-ins., 9 May, Create strong passwords instantly, add a backup friend and sign in faster with Google. .
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Google tips and upd.
Lukáš, try three tips for easier sign-ins. - Create strong passwords instantly, add a backup friend and sign in faster with Google.
Lukáš, try three tips for easier sign-ins.
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Create strong passwords instantly, add a backup friend and sign in faster with Google.
9 May
Quora Suggested Spa., I was cheating on my husband of 18 years with his own friend and after 2 years, my husband caught me. How can I make this go away from his mind an...?, 8 May, As a psychologist, I'll give you some honest feedback without being crue… The Betrayed Spouse's Space and Community The Betrayed Spouse's Space and Community • 6.6K followers Help, Support.
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Quora Suggested Spa.
I was cheating on my husband of 18 years with his own friend and after 2 years, my husband caught me. How can I make this go away from his mind an...? - As a psychologist, I'll give you some honest feedback without being crue… The Betrayed Spouse's Space and Community The Betrayed Spouse's Space and Community • 6.6K followers Help, Support
I was cheating on my husband of 18 years with his own friend and after 2 years, my husband caught me. How can I make this go away from his mind an...?
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As a psychologist, I'll give you some honest feedback without being crue… The Betrayed Spouse's Space and Community The Betrayed Spouse's Space and Community • 6.6K followers Help, Support
8 May
Google, Security alert, 8 May, A new sign-in on Apple iPhone [EMAIL] We noticed a new sign-in to your Google Account on a Apple iPhone device. If this was you, you don't need to do anything. If not, we'll help.
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Google
Security alert - A new sign-in on Apple iPhone [EMAIL] We noticed a new sign-in to your Google Account on a Apple iPhone device. If this was you, you don't need to do anything. If not, we'll help...
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2026-05-11T06:07:21.260593+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479641260_m1.jpg...
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Firefox
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Inbox (1) - kovaliklukas@gmail.com - Gmail — Perso Inbox (1) - kovaliklukas@gmail.com - Gmail — Personal...
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Pull requests · screenpipe/screenpipe · GitHub
Pul Pull requests · screenpipe/screenpipe · GitHub
Pull requests · screenpipe/screenpipe · GitHub
DNS / Nameservers | Hostinger
DNS / Nameservers | Hostinger
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Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
DXP4800PLUS-B5F8
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AFFiNE - All In One KnowledgeOS
AFFiNE - All In One KnowledgeOS
All docs · AFFiNE
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Claude Code | Claude Platform
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April 2026 spending by category - Claude
April 2026 spending by category - Claude
lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
Applications - Admin - authentik
Applications - Admin - authentik
Електронно банкиране ДСК Директ от Банка ДСК
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LinkedIn Job Alerts, Back End Software Engineer at MANUAL, 08:32, MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏.
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LinkedIn Job Alerts
Back End Software Engineer at MANUAL - MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Back End Software Engineer at MANUAL
-
MANUAL Back End Software Engineer: VOY is a fast growing Healthtech scale-up, aiming… ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
08:32
unread, Apple, Your invoice from Apple., 03:49, Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX.
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Apple
Your invoice from Apple. - Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX
Your invoice from Apple.
-
Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX
Quora Suggested Spa., Genocide in Russia!!, 21:23, Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,.
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Quora Suggested Spa.
Genocide in Russia!! - Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
Genocide in Russia!!
-
Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
21:23
RescueTime Team, 15h 39m of Software Development this week - RescueTime Weekly Summary, 10 May, Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'.
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RescueTime Team
15h 39m of Software Development this week - RescueTime Weekly Summary - Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
15h 39m of Software Development this week - RescueTime Weekly Summary
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Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
10 May...
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Pull requests · screenpipe/screenpipe · GitHub
Pul Pull requests · screenpipe/screenpipe · GitHub
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unread, Apple, Your invoice from Apple., 03:49, Invoice APPLE ACCOUNT [EMAIL] BILLED TO Visa .... 4447 (Apple Pay) Lukas Kovalik Inter Expo Center Sofia, 1000 BGR INVOICE DATE 10 May 2026 SEQUENCE NO. 1-13573493610 ORDER ID MLV4N030JX.
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Quora Suggested Spa., Genocide in Russia!!, 21:23, Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,.
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Genocide in Russia!! Only Truth About Russia Only Truth About Russia • 44.9K followers We Challenge Kremlin's Propaganda - And Are Here to Inform NOT to Please Genocide in Russia!! Alan Alan,
21:23
RescueTime Team, 15h 39m of Software Development this week - RescueTime Weekly Summary, 10 May, Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'.
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15h 39m of Software Development this week - RescueTime Weekly Summary - Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
15h 39m of Software Development this week - RescueTime Weekly Summary
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Having trouble viewing this email? Click here to view it in your browser. RescueTime personal time management Your weekly summary May 3, 2026 - May 10, 2026 You're missing out! Right now, you'
10 May...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479644022_m2.jpg...
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Your invoice from Apple. - kovaliklukas@gmail.com Your invoice from Apple. - kovaliklukas@gmail.com - Gmail — Personal...
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Pull requests · screenpipe/screenpipe · GitHub
Pul Pull requests · screenpipe/screenpipe · GitHub
Pull requests · screenpipe/screenpipe · GitHub
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GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
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lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
Applications - Admin - authentik
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Pull requests · screenpipe/screenpipe · GitHub
Pul Pull requests · screenpipe/screenpipe · GitHub
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GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
GitHub - screenpipe/screenpipe: Run agents that work based on what you do. 24/7 local screen & mic recording for the superintelligence era · GitHub
DXP4800PLUS-B5F8
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AFFiNE - All In One KnowledgeOS
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All docs · AFFiNE
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Claude Code | Claude Platform
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lakylak/finance-hub - finance-hub - Gitea: Git with a cup of tea
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0
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2026-05-11T06:12:09.854539+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479929854_m1.jpg...
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PhpStorm
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faVsco.js – CrmObjectsResolver.php
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
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19
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
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|
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LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = 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$logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === 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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
Hide This Notification
Code changed:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
Collapse All
Options
Hide...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
15060
|
NULL
|
0
|
2026-05-11T06:12:09.816686+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479929816_m2.jpg...
|
PhpStorm
|
faVsco.js – CrmObjectsResolver.php
|
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|
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|
NULL
|
Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Code changed:
Hide
Sync Changes
Hide This Notification
1
Previous Highlighted Error
Next Highlighted Error
<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
Hide This Notification
Code changed:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
Collapse All
Options
Hide...
|
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Error","depth":4,"bounds":{"left":0.4039229,"top":0.17318435,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm;\n\nuse Jiminny\\Contracts\\Services\\Crm\\ServiceInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\DTO\\ImportCall\\CrmIdentifier;\nuse Psr\\Log\\LoggerInterface;\n\nclass CrmObjectsResolver\n{\n private LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === null) {\n $stage = $oppStage;\n }\n }\n\n if ($crmIdentifier->hasAccountId()) {\n [ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());\n }\n } catch (\\Exception $exception) {\n $this->logger->warning('CRM lookup failed', [\n 'reason' => $exception->getMessage(),\n 'provider' => $call->getProvider(),\n 'call_id' => $call->getCallId(),\n 'payload' => $call,\n ]);\n }\n }\n\n $data = [$lead, $account, $opportunity, $contact, $stage];\n\n return ! empty(array_filter($data)) ? $data : [];\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm;\n\nuse Jiminny\\Contracts\\Services\\Crm\\ServiceInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\DTO\\ImportCall\\CrmIdentifier;\nuse Psr\\Log\\LoggerInterface;\n\nclass CrmObjectsResolver\n{\n private LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === null) {\n $stage = $oppStage;\n }\n }\n\n if ($crmIdentifier->hasAccountId()) {\n [ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());\n }\n } catch (\\Exception $exception) {\n $this->logger->warning('CRM lookup failed', [\n 'reason' => $exception->getMessage(),\n 'provider' => $call->getProvider(),\n 'call_id' => $call->getCallId(),\n 'payload' => $call,\n ]);\n }\n }\n\n $data = [$lead, $account, $opportunity, $contact, $stage];\n\n return ! empty(array_filter($data)) ? $data : [];\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"bounds":{"left":0.6296542,"top":0.10055866,"width":0.009640957,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.6409575,"top":0.09896249,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.64827126,"top":0.09896249,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"bounds":{"left":0.43018618,"top":0.0,"width":0.56981385,"height":0.632083},"on_screen":true,"lines":[{"char_start":624,"char_count":72,"bounds":{"left":0.43018618,"top":0.0,"width":0.18384309,"height":0.014365523}},{"char_start":696,"char_count":219,"bounds":{"left":0.43018618,"top":0.0,"width":0.56515956,"height":0.014365523}},{"char_start":915,"char_count":83,"bounds":{"left":0.43018618,"top":0.0,"width":0.21243352,"height":0.014365523}},{"char_start":998,"char_count":20,"bounds":{"left":0.43018618,"top":0.0,"width":0.04920213,"height":0.014365523}},{"char_start":1018,"char_count":17,"bounds":{"left":0.43018618,"top":0.0,"width":0.041223403,"height":0.014365523}},{"char_start":1035,"char_count":203,"bounds":{"left":0.43018618,"top":0.0,"width":0.52360374,"height":0.014365523}},{"char_start":1238,"char_count":22,"bounds":{"left":0.43018618,"top":0.007980846,"width":0.05418883,"height":0.014365523}},{"char_start":1260,"char_count":23,"bounds":{"left":0.43018618,"top":0.025538707,"width":0.056848403,"height":0.014365523}},{"char_start":1283,"char_count":10,"bounds":{"left":0.43018618,"top":0.04309657,"width":0.023271276,"height":0.014365523}},{"char_start":1293,"char_count":27,"bounds":{"left":0.43018618,"top":0.060654428,"width":0.06715426,"height":0.014365523}},{"char_start":1320,"char_count":26,"bounds":{"left":0.43018618,"top":0.07821229,"width":0.06482713,"height":0.014365523}},{"char_start":1346,"char_count":23,"bounds":{"left":0.43018618,"top":0.09577015,"width":0.056848403,"height":0.014365523}},{"char_start":1369,"char_count":28,"bounds":{"left":0.43018618,"top":0.11332801,"width":0.06981383,"height":0.014365523}},{"char_start":1397,"char_count":57,"bounds":{"left":0.43018618,"top":0.13088587,"width":0.14494681,"height":0.014365523}}],"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"bounds":{"left":0.011968086,"top":0.047885075,"width":0.024268618,"height":0.024740623},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-1176252807053498140
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-7732674816312219106
|
click
|
accessibility
|
NULL
|
Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
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Code changed:
Hide
Sync Changes
Hide This Notification
1
Previous Highlighted Error
Next Highlighted Error
<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
Hide This Notification
Code changed:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
Collapse All
Options
Hide...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
15061
|
674
|
0
|
2026-05-11T06:13:07.130819+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479987130_m1.jpg...
|
PhpStorm
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faVsco.js – CrmObjectsResolver.php
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Code changed:
Hide
Sync Changes
Hide This Notification
1
Previous Highlighted Error
Next Highlighted Error
<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
Hide This Notification
Code changed:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
Collapse All
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|
[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JY-20725-handle-HS-search-rate-limit, menu","depth":5,"on_screen":true,"help_text":"Git Branch: JY-20725-handle-HS-search-rate-limit","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Start Listening for PHP Debug Connections","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"AskJiminnyReportActivityServiceTest","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Run 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Debug 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search Everywhere","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"IDE and Project Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"1","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm;\n\nuse Jiminny\\Contracts\\Services\\Crm\\ServiceInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\DTO\\ImportCall\\CrmIdentifier;\nuse Psr\\Log\\LoggerInterface;\n\nclass CrmObjectsResolver\n{\n private LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === null) {\n $stage = $oppStage;\n }\n }\n\n if ($crmIdentifier->hasAccountId()) {\n [ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());\n }\n } catch (\\Exception $exception) {\n $this->logger->warning('CRM lookup failed', [\n 'reason' => $exception->getMessage(),\n 'provider' => $call->getProvider(),\n 'call_id' => $call->getCallId(),\n 'payload' => $call,\n ]);\n }\n }\n\n $data = [$lead, $account, $opportunity, $contact, $stage];\n\n return ! empty(array_filter($data)) ? $data : [];\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm;\n\nuse Jiminny\\Contracts\\Services\\Crm\\ServiceInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\DTO\\ImportCall\\CrmIdentifier;\nuse Psr\\Log\\LoggerInterface;\n\nclass CrmObjectsResolver\n{\n private LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === null) {\n $stage = $oppStage;\n }\n }\n\n if ($crmIdentifier->hasAccountId()) {\n [ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());\n }\n } catch (\\Exception $exception) {\n $this->logger->warning('CRM lookup failed', [\n 'reason' => $exception->getMessage(),\n 'provider' => $call->getProvider(),\n 'call_id' => $call->getCallId(),\n 'payload' => $call,\n ]);\n }\n }\n\n $data = [$lead, $account, $opportunity, $contact, $stage];\n\n return ! empty(array_filter($data)) ? $data : [];\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"on_screen":true,"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-1176252807053498140
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-7732674816312219106
|
idle
|
accessibility
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NULL
|
Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
Hide This Notification
Code changed:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
Collapse All
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|
15059
|
NULL
|
NULL
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NULL
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|
15062
|
675
|
0
|
2026-05-11T06:13:07.137566+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778479987137_m2.jpg...
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PhpStorm
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faVsco.js – CrmObjectsResolver.php
|
True
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monitor_2
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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JetBrains AI
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IDE and Project Settings
Code changed:
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
Sync Changes
Hide This Notification
Code changed:
Hide
19
Previous Highlighted Error
Next Highlighted Error
[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
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|
[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"bounds":{"left":0.025930852,"top":0.019952115,"width":0.03856383,"height":0.025538707},"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JY-20725-handle-HS-search-rate-limit, menu","depth":5,"bounds":{"left":0.064494684,"top":0.019952115,"width":0.09541223,"height":0.025538707},"on_screen":true,"help_text":"Git Branch: JY-20725-handle-HS-search-rate-limit","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Start Listening for PHP Debug 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'AskJiminnyReportActivityServiceTest'","depth":6,"bounds":{"left":0.9268617,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"bounds":{"left":0.9381649,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"bounds":{"left":0.96609044,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search 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Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"1","depth":4,"bounds":{"left":0.38763297,"top":0.17478053,"width":0.00731383,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.39660904,"top":0.17318435,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.4039229,"top":0.17318435,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm;\n\nuse Jiminny\\Contracts\\Services\\Crm\\ServiceInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\DTO\\ImportCall\\CrmIdentifier;\nuse Psr\\Log\\LoggerInterface;\n\nclass CrmObjectsResolver\n{\n private LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === null) {\n $stage = $oppStage;\n }\n }\n\n if ($crmIdentifier->hasAccountId()) {\n [ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());\n }\n } catch (\\Exception $exception) {\n $this->logger->warning('CRM lookup failed', [\n 'reason' => $exception->getMessage(),\n 'provider' => $call->getProvider(),\n 'call_id' => $call->getCallId(),\n 'payload' => $call,\n ]);\n }\n }\n\n $data = [$lead, $account, $opportunity, $contact, $stage];\n\n return ! empty(array_filter($data)) ? $data : [];\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm;\n\nuse Jiminny\\Contracts\\Services\\Crm\\ServiceInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\DTO\\ImportCall\\CrmIdentifier;\nuse Psr\\Log\\LoggerInterface;\n\nclass CrmObjectsResolver\n{\n private LoggerInterface $logger;\n\n public function __construct(LoggerInterface $logger)\n {\n $this->logger = $logger;\n }\n\n public function resolveFromCall(ServiceInterface $crmService, Call $call): array\n {\n $this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [\n 'provider' => $call->getProvider(),\n 'callId' => $call->getCallId(),\n 'contactEmail' => $call->getContactEmail(),\n 'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),\n ]);\n\n $decorator = resolve(CachedCrmServiceDecorator::class);\n $decorator->setCrmService($crmService);\n\n /**\n * ArrayShape:\n * $crmObjects = [$lead, $account, $opportunity, $contact, $stage]\n */\n if (! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());\n }\n\n if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {\n $crmObjects = $decorator->matchByPhone(\n $call->getOtherPartyPhoneNumber(),\n null,\n $call->getUserId()\n );\n }\n\n if ($call->hasCrmIdentifier()) {\n $crmObjects = $this->matchCrmByObjectIds($crmService, $call);\n }\n\n if (empty($crmObjects) && ! empty($call->getContactEmail())) {\n $crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());\n }\n\n return ! empty($crmObjects)\n ? $crmObjects\n : [];\n }\n\n /**\n * Try to detect CRM data by using available Crm identifiers\n */\n private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array\n {\n $lead = $account = $opportunity = $contact = $stage = null;\n\n $crmIdentifier = $call->getCrmIdentifier();\n\n if (! $crmIdentifier instanceof CrmIdentifier) {\n return [];\n }\n\n if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {\n try {\n if ($crmIdentifier->hasClientId()) {\n [$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());\n }\n\n if ($crmIdentifier->hasActivityId()) {\n [ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());\n\n if ($stage === null) {\n $stage = $oppStage;\n }\n }\n\n if ($crmIdentifier->hasAccountId()) {\n [ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());\n }\n } catch (\\Exception $exception) {\n $this->logger->warning('CRM lookup failed', [\n 'reason' => $exception->getMessage(),\n 'provider' => $call->getProvider(),\n 'call_id' => $call->getCallId(),\n 'payload' => $call,\n ]);\n }\n }\n\n $data = [$lead, $account, 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\"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"bounds":{"left":0.43018618,"top":0.0,"width":0.56981385,"height":0.632083},"on_screen":true,"lines":[{"char_start":624,"char_count":72,"bounds":{"left":0.43018618,"top":0.0,"width":0.18384309,"height":0.014365523}},{"char_start":696,"char_count":219,"bounds":{"left":0.43018618,"top":0.0,"width":0.56515956,"height":0.014365523}},{"char_start":915,"char_count":83,"bounds":{"left":0.43018618,"top":0.0,"width":0.21243352,"height":0.014365523}},{"char_start":998,"char_count":20,"bounds":{"left":0.43018618,"top":0.0,"width":0.04920213,"height":0.014365523}},{"char_start":1018,"char_count":17,"bounds":{"left":0.43018618,"top":0.0,"width":0.041223403,"height":0.014365523}},{"char_start":1035,"char_count":203,"bounds":{"left":0.43018618,"top":0.0,"width":0.52360374,"height":0.014365523}},{"char_start":1238,"char_count":22,"bounds":{"left":0.43018618,"top":0.007980846,"width":0.05418883,"height":0.014365523}},{"char_start":1260,"char_count":23,"bounds":{"left":0.43018618,"top":0.025538707,"width":0.056848403,"height":0.014365523}},{"char_start":1283,"char_count":10,"bounds":{"left":0.43018618,"top":0.04309657,"width":0.023271276,"height":0.014365523}},{"char_start":1293,"char_count":27,"bounds":{"left":0.43018618,"top":0.060654428,"width":0.06715426,"height":0.014365523}},{"char_start":1320,"char_count":26,"bounds":{"left":0.43018618,"top":0.07821229,"width":0.06482713,"height":0.014365523}},{"char_start":1346,"char_count":23,"bounds":{"left":0.43018618,"top":0.09577015,"width":0.056848403,"height":0.014365523}},{"char_start":1369,"char_count":28,"bounds":{"left":0.43018618,"top":0.11332801,"width":0.06981383,"height":0.014365523}},{"char_start":1397,"char_count":57,"bounds":{"left":0.43018618,"top":0.13088587,"width":0.14494681,"height":0.014365523}}],"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry 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All","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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idle
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accessibility
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm;
use Jiminny\Contracts\Services\Crm\ServiceInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\DTO\ImportCall\CrmIdentifier;
use Psr\Log\LoggerInterface;
class CrmObjectsResolver
{
private LoggerInterface $logger;
public function __construct(LoggerInterface $logger)
{
$this->logger = $logger;
}
public function resolveFromCall(ServiceInterface $crmService, Call $call): array
{
$this->logger->info(sprintf('[%s] Resolving CRM objects', $call->getProvider()), [
'provider' => $call->getProvider(),
'callId' => $call->getCallId(),
'contactEmail' => $call->getContactEmail(),
'contactPhoneNumber' => $call->getOtherPartyPhoneNumber(),
]);
$decorator = resolve(CachedCrmServiceDecorator::class);
$decorator->setCrmService($crmService);
/**
* ArrayShape:
* $crmObjects = [$lead, $account, $opportunity, $contact, $stage]
*/
if (! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchExactlyByEmail($call->getContactEmail(), $call->getUserId());
}
if (empty($crmObjects) && $call->getOtherPartyPhoneNumber() !== null) {
$crmObjects = $decorator->matchByPhone(
$call->getOtherPartyPhoneNumber(),
null,
$call->getUserId()
);
}
if ($call->hasCrmIdentifier()) {
$crmObjects = $this->matchCrmByObjectIds($crmService, $call);
}
if (empty($crmObjects) && ! empty($call->getContactEmail())) {
$crmObjects = $decorator->matchByDomain($call->getContactEmail(), $call->getUserId());
}
return ! empty($crmObjects)
? $crmObjects
: [];
}
/**
* Try to detect CRM data by using available Crm identifiers
*/
private function matchCrmByObjectIds(ServiceInterface $crmService, Call $call): array
{
$lead = $account = $opportunity = $contact = $stage = null;
$crmIdentifier = $call->getCrmIdentifier();
if (! $crmIdentifier instanceof CrmIdentifier) {
return [];
}
if ($crmIdentifier->hasClientId() || $crmIdentifier->hasActivityId()) {
try {
if ($crmIdentifier->hasClientId()) {
[$lead, , , $contact, $stage] = $crmService->parseRecords($crmIdentifier->getClientId());
}
if ($crmIdentifier->hasActivityId()) {
[ , , $opportunity, , $oppStage] = $crmService->parseRecords($crmIdentifier->getActivityId());
if ($stage === null) {
$stage = $oppStage;
}
}
if ($crmIdentifier->hasAccountId()) {
[ , $account, , , ] = $crmService->parseRecords($crmIdentifier->getAccountId());
}
} catch (\Exception $exception) {
$this->logger->warning('CRM lookup failed', [
'reason' => $exception->getMessage(),
'provider' => $call->getProvider(),
'call_id' => $call->getCallId(),
'payload' => $call,
]);
}
}
$data = [$lead, $account, $opportunity, $contact, $stage];
return ! empty(array_filter($data)) ? $data : [];
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project
New File or Directory…
Expand Selected
Collapse All
Options
Hide...
|
15060
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NULL
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NULL
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NULL
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|
15106
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NULL
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0
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2026-05-11T06:16:58.067074+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778480218067_m2.jpg...
|
PhpStorm
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faVsco.js – Client.php
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True
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monitor_2
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NULL
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NULL
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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64
1
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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Highlighted Error","depth":4,"bounds":{"left":0.39660904,"top":0.17318435,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.4039229,"top":0.17318435,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm\\Hubspot;\n\nuse HubSpot\\Client\\Crm\\Deals\\ApiException as DealApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\ApiException as ContactApiException;\nuse HubSpot\\Client\\Crm\\Companies\\ApiException as CompanyApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectWithAssociations as ContactsWithAssociations;\nuse HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectWithAssociations as CompaniesWithAssociations;\nuse HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectWithAssociations as DealWithAssociations;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n $this->getInstance()->engagements()->delete((int) $engagementId);\n }\n\n public function getAssociationsData(array $ids, string $fromObject, string $toObject): array\n {\n $associationData = [];\n $idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);\n\n foreach ($idChunks as $idChunk) {\n try {\n $batchInput = new \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchInputPublicObjectId();\n $batchInput->setInputs(array_map(function ($id) {\n $publicObjectId = new \\HubSpot\\Client\\Crm\\Associations\\Model\\PublicObjectId();\n $publicObjectId->setId($id);\n\n return $publicObjectId;\n }, $idChunk));\n\n $associatedObjectsData = $this\n ->getNewInstance()\n ->crm()\n ->associations()\n ->batchApi()\n ->read($fromObject, $toObject, $batchInput);\n\n if ($associatedObjectsData instanceof \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchResponsePublicAssociationMulti) {\n foreach ($associatedObjectsData->getResults() as $association) {\n $from = $association->getFrom()->getId();\n $toAssociations = $association->getTo();\n\n if (! empty($toAssociations)) {\n $associationData[$from] = array_map(function ($item) {\n return $item->getId();\n }, $toAssociations);\n }\n }\n }\n } catch (RateLimitException $e) {\n throw $e;\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to fetch associations', [\n 'from_object' => $fromObject,\n 'to_object' => $toObject,\n 'reason' => $e->getMessage(),\n ]);\n }\n }\n\n return $associationData;\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteAssociationType(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'note_to_deal',\n NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it\n NoteObject::Account => 'note_to_company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteObject(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'deal',\n NoteObject::Lead, NoteObject::Contact => 'contact',\n NoteObject::Account => 'company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n public function addAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/create\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n public function removeAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/archive\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm\\Hubspot;\n\nuse HubSpot\\Client\\Crm\\Deals\\ApiException as DealApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\ApiException as ContactApiException;\nuse HubSpot\\Client\\Crm\\Companies\\ApiException as CompanyApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectWithAssociations as ContactsWithAssociations;\nuse HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectWithAssociations as CompaniesWithAssociations;\nuse HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectWithAssociations as DealWithAssociations;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 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All","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-6846030394046819116
|
-2772555094158342042
|
visual_change
|
accessibility
|
NULL
|
Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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JY-20725-handle-HS-search Project: faVsco.js, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n $this->getInstance()->engagements()->delete((int) $engagementId);\n }\n\n public function getAssociationsData(array $ids, string $fromObject, string $toObject): array\n {\n $associationData = [];\n $idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);\n\n foreach ($idChunks as $idChunk) {\n try {\n $batchInput = new \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchInputPublicObjectId();\n $batchInput->setInputs(array_map(function ($id) {\n $publicObjectId = new \\HubSpot\\Client\\Crm\\Associations\\Model\\PublicObjectId();\n $publicObjectId->setId($id);\n\n return $publicObjectId;\n }, $idChunk));\n\n $associatedObjectsData = $this\n ->getNewInstance()\n ->crm()\n ->associations()\n ->batchApi()\n ->read($fromObject, $toObject, $batchInput);\n\n if ($associatedObjectsData instanceof \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchResponsePublicAssociationMulti) {\n foreach ($associatedObjectsData->getResults() as $association) {\n $from = $association->getFrom()->getId();\n $toAssociations = $association->getTo();\n\n if (! empty($toAssociations)) {\n $associationData[$from] = array_map(function ($item) {\n return $item->getId();\n }, $toAssociations);\n }\n }\n }\n } catch (RateLimitException $e) {\n throw $e;\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to fetch associations', [\n 'from_object' => $fromObject,\n 'to_object' => $toObject,\n 'reason' => $e->getMessage(),\n ]);\n }\n }\n\n return $associationData;\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteAssociationType(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'note_to_deal',\n NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it\n NoteObject::Account => 'note_to_company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteObject(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'deal',\n NoteObject::Lead, NoteObject::Contact => 'contact',\n NoteObject::Account => 'company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n public function addAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/create\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n public function removeAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/archive\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm\\Hubspot;\n\nuse HubSpot\\Client\\Crm\\Deals\\ApiException as DealApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\ApiException as ContactApiException;\nuse HubSpot\\Client\\Crm\\Companies\\ApiException as CompanyApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectWithAssociations as ContactsWithAssociations;\nuse HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectWithAssociations as CompaniesWithAssociations;\nuse HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectWithAssociations as DealWithAssociations;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n 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Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"on_screen":true,"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n 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|
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idle
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accessibility
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NULL
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
Sync Changes
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectWithAssociations as CompaniesWithAssociations;\nuse HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectWithAssociations as DealWithAssociations;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n $this->getInstance()->engagements()->delete((int) $engagementId);\n }\n\n public function getAssociationsData(array $ids, string $fromObject, string $toObject): array\n {\n $associationData = [];\n $idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);\n\n foreach ($idChunks as $idChunk) {\n try {\n $batchInput = new \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchInputPublicObjectId();\n $batchInput->setInputs(array_map(function ($id) {\n $publicObjectId = new \\HubSpot\\Client\\Crm\\Associations\\Model\\PublicObjectId();\n $publicObjectId->setId($id);\n\n return $publicObjectId;\n }, $idChunk));\n\n $associatedObjectsData = $this\n ->getNewInstance()\n ->crm()\n ->associations()\n ->batchApi()\n ->read($fromObject, $toObject, $batchInput);\n\n if ($associatedObjectsData instanceof \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchResponsePublicAssociationMulti) {\n foreach ($associatedObjectsData->getResults() as $association) {\n $from = $association->getFrom()->getId();\n $toAssociations = $association->getTo();\n\n if (! empty($toAssociations)) {\n $associationData[$from] = array_map(function ($item) {\n return $item->getId();\n }, $toAssociations);\n }\n }\n }\n } catch (RateLimitException $e) {\n throw $e;\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to fetch associations', [\n 'from_object' => $fromObject,\n 'to_object' => $toObject,\n 'reason' => $e->getMessage(),\n ]);\n }\n }\n\n return $associationData;\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteAssociationType(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'note_to_deal',\n NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it\n NoteObject::Account => 'note_to_company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteObject(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'deal',\n NoteObject::Lead, NoteObject::Contact => 'contact',\n NoteObject::Account => 'company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n public function addAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/create\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n public function removeAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/archive\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm\\Hubspot;\n\nuse HubSpot\\Client\\Crm\\Deals\\ApiException as DealApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\ApiException as ContactApiException;\nuse HubSpot\\Client\\Crm\\Companies\\ApiException as CompanyApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectWithAssociations as ContactsWithAssociations;\nuse HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectWithAssociations as CompaniesWithAssociations;\nuse HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectWithAssociations as DealWithAssociations;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n $this->getInstance()->engagements()->delete((int) $engagementId);\n }\n\n public function getAssociationsData(array $ids, string $fromObject, string $toObject): array\n {\n $associationData = [];\n $idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);\n\n foreach ($idChunks as $idChunk) {\n try {\n $batchInput = new \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchInputPublicObjectId();\n $batchInput->setInputs(array_map(function ($id) {\n $publicObjectId = new \\HubSpot\\Client\\Crm\\Associations\\Model\\PublicObjectId();\n $publicObjectId->setId($id);\n\n return $publicObjectId;\n }, $idChunk));\n\n $associatedObjectsData = $this\n ->getNewInstance()\n ->crm()\n ->associations()\n ->batchApi()\n ->read($fromObject, $toObject, $batchInput);\n\n if ($associatedObjectsData instanceof \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchResponsePublicAssociationMulti) {\n foreach ($associatedObjectsData->getResults() as $association) {\n $from = $association->getFrom()->getId();\n $toAssociations = $association->getTo();\n\n if (! empty($toAssociations)) {\n $associationData[$from] = array_map(function ($item) {\n return $item->getId();\n }, $toAssociations);\n }\n }\n }\n } catch (RateLimitException $e) {\n throw $e;\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to fetch associations', [\n 'from_object' => $fromObject,\n 'to_object' => $toObject,\n 'reason' => $e->getMessage(),\n ]);\n }\n }\n\n return $associationData;\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteAssociationType(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'note_to_deal',\n NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it\n NoteObject::Account => 'note_to_company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteObject(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'deal',\n NoteObject::Lead, NoteObject::Contact => 'contact',\n NoteObject::Account => 'company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n public function addAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/create\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n public function removeAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/archive\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"bounds":{"left":0.6296542,"top":0.10055866,"width":0.009640957,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.6409575,"top":0.09896249,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.64827126,"top":0.09896249,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"bounds":{"left":0.43018618,"top":0.0,"width":0.56981385,"height":0.632083},"on_screen":true,"lines":[{"char_start":624,"char_count":72,"bounds":{"left":0.43018618,"top":0.0,"width":0.18384309,"height":0.014365523}},{"char_start":696,"char_count":219,"bounds":{"left":0.43018618,"top":0.0,"width":0.56515956,"height":0.014365523}},{"char_start":915,"char_count":83,"bounds":{"left":0.43018618,"top":0.0,"width":0.21243352,"height":0.014365523}},{"char_start":998,"char_count":20,"bounds":{"left":0.43018618,"top":0.0,"width":0.04920213,"height":0.014365523}},{"char_start":1018,"char_count":17,"bounds":{"left":0.43018618,"top":0.0,"width":0.041223403,"height":0.014365523}},{"char_start":1035,"char_count":203,"bounds":{"left":0.43018618,"top":0.0,"width":0.52360374,"height":0.014365523}},{"char_start":1238,"char_count":22,"bounds":{"left":0.43018618,"top":0.007980846,"width":0.05418883,"height":0.014365523}},{"char_start":1260,"char_count":23,"bounds":{"left":0.43018618,"top":0.025538707,"width":0.056848403,"height":0.014365523}},{"char_start":1283,"char_count":10,"bounds":{"left":0.43018618,"top":0.04309657,"width":0.023271276,"height":0.014365523}},{"char_start":1293,"char_count":27,"bounds":{"left":0.43018618,"top":0.060654428,"width":0.06715426,"height":0.014365523}},{"char_start":1320,"char_count":26,"bounds":{"left":0.43018618,"top":0.07821229,"width":0.06482713,"height":0.014365523}},{"char_start":1346,"char_count":23,"bounds":{"left":0.43018618,"top":0.09577015,"width":0.056848403,"height":0.014365523}},{"char_start":1369,"char_count":28,"bounds":{"left":0.43018618,"top":0.11332801,"width":0.06981383,"height":0.014365523}},{"char_start":1397,"char_count":57,"bounds":{"left":0.43018618,"top":0.13088587,"width":0.14494681,"height":0.014365523}}],"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"bounds":{"left":0.011968086,"top":0.047885075,"width":0.024268618,"height":0.024740623},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-6846030394046819116
|
-2772555094158342042
|
visual_change
|
accessibility
|
NULL
|
Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n $this->getInstance()->engagements()->delete((int) $engagementId);\n }\n\n public function getAssociationsData(array $ids, string $fromObject, string $toObject): array\n {\n $associationData = [];\n $idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);\n\n foreach ($idChunks as $idChunk) {\n try {\n $batchInput = new \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchInputPublicObjectId();\n $batchInput->setInputs(array_map(function ($id) {\n $publicObjectId = new \\HubSpot\\Client\\Crm\\Associations\\Model\\PublicObjectId();\n $publicObjectId->setId($id);\n\n return $publicObjectId;\n }, $idChunk));\n\n $associatedObjectsData = $this\n ->getNewInstance()\n ->crm()\n ->associations()\n ->batchApi()\n ->read($fromObject, $toObject, $batchInput);\n\n if ($associatedObjectsData instanceof \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchResponsePublicAssociationMulti) {\n foreach ($associatedObjectsData->getResults() as $association) {\n $from = $association->getFrom()->getId();\n $toAssociations = $association->getTo();\n\n if (! empty($toAssociations)) {\n $associationData[$from] = array_map(function ($item) {\n return $item->getId();\n }, $toAssociations);\n }\n }\n }\n } catch (RateLimitException $e) {\n throw $e;\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to fetch associations', [\n 'from_object' => $fromObject,\n 'to_object' => $toObject,\n 'reason' => $e->getMessage(),\n ]);\n }\n }\n\n return $associationData;\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteAssociationType(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'note_to_deal',\n NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it\n NoteObject::Account => 'note_to_company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteObject(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'deal',\n NoteObject::Lead, NoteObject::Contact => 'contact',\n NoteObject::Account => 'company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n public function addAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/create\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n public function removeAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/archive\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Services\\Crm\\Hubspot;\n\nuse HubSpot\\Client\\Crm\\Deals\\ApiException as DealApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\ApiException as ContactApiException;\nuse HubSpot\\Client\\Crm\\Companies\\ApiException as CompanyApiException;\nuse HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectWithAssociations as ContactsWithAssociations;\nuse HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectWithAssociations as CompaniesWithAssociations;\nuse HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectWithAssociations as DealWithAssociations;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectInput;\nuse HubSpot\\Client\\Crm\\Objects\\Model\\SimplePublicObjectWithAssociations as ObjectWithAssociations;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\Error;\nuse HubSpot\\Client\\Crm\\Pipelines\\Model\\PipelineStage;\nuse HubSpot\\Client\\Crm\\Properties\\Model\\Property;\nuse HubSpot\\Discovery\\Discovery;\nuse Jiminny\\Exceptions\\CrmException;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Exceptions\\SocialAccountTokenInvalidException;\nuse Jiminny\\Jobs\\Crm\\NoteObject;\nuse Jiminny\\Models\\Crm\\Field;\nuse Jiminny\\Services\\Crm\\BaseClient;\nuse Jiminny\\Services\\Crm\\Hubspot\\DTO\\Response\\Owner;\nuse Jiminny\\Services\\SocialAccountService;\nuse SevenShores\\Hubspot\\Exceptions\\BadRequest;\nuse SevenShores\\Hubspot\\Exceptions\\HubspotException;\nuse SevenShores\\Hubspot\\Factory;\nuse SevenShores\\Hubspot\\Http\\Response;\nuse Jiminny\\Services\\Crm\\Hubspot\\Pagination\\HubspotPaginationService;\nuse Throwable;\n\n/**\n * @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}\n */\nclass Client extends BaseClient implements HubspotClientInterface\n{\n public const string MIN_API_VERSION = '2';\n\n public const string BASE_URL = 'https://api.hubapi.com';\n\n public const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;\n\n private HubspotPaginationService $paginationService;\n private HubspotTokenManager $tokenManager;\n\n public function __construct(\n SocialAccountService $socialAccountService,\n HubspotPaginationService $paginationService,\n HubspotTokenManager $tokenManager,\n ) {\n parent::__construct($socialAccountService);\n $this->paginationService = $paginationService;\n $this->tokenManager = $tokenManager;\n\n $this->setBaseUrl(self::BASE_URL);\n $this->setVersion(self::MIN_API_VERSION);\n }\n\n /**\n * Reacts to a rate limits (429) from HubSpot by translating it\n * into a RateLimitException carrying retry_after.\n *\n * Wrap any outbound HubSpot call (SDK or raw HTTP) like:\n *\n * $this->executeRequest(fn () => $this->getNewInstance()->crm()->...);\n *\n * @template T\n * @param callable(): T $apiCall\n * @return T\n *\n * @throws RateLimitException\n */\n private function executeRequest(callable $apiCall)\n {\n try {\n return $apiCall();\n } catch (Throwable $e) {\n if ($this->isHubspotRateLimit($e)) {\n $retryAfter = $this->parseRetryAfter($e);\n\n $this->log->warning('[Hubspot] Received 429 from API', [\n 'team_id' => $this->config->team_id,\n 'config_id' => $this->config->getId(),\n 'retry_after' => $retryAfter,\n 'reason' => $e->getMessage(),\n ]);\n\n throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);\n }\n\n throw $e;\n }\n }\n\n public function isHubspotRateLimit(Throwable $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n || $e instanceof \\GuzzleHttp\\Exception\\RequestException\n ) {\n return (int) $e->getCode() === 429;\n }\n\n return false;\n }\n\n public function parseRetryAfter(Throwable $e): int\n {\n // First try to get Retry-After from response headers\n if (method_exists($e, 'getResponseHeaders')) {\n $headers = $e->getResponseHeaders() ?: [];\n $value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;\n if (is_array($value)) {\n $value = $value[0] ?? null;\n }\n if (is_numeric($value)) {\n return (int) $value;\n }\n }\n\n if (method_exists($e, 'getResponseBody')) {\n $body = $e->getResponseBody();\n if (is_string($body)) {\n $body = json_decode($body, true) ?? [];\n }\n\n $policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;\n\n if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {\n return 10;\n }\n if ($policyName === 'SECONDLY' || $policyName === 'secondly') {\n return 1;\n }\n }\n\n $this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [\n 'exception_class' => get_class($e),\n ]);\n\n return 10;\n }\n\n public function getMinimumApiVersion(): string\n {\n return self::MIN_API_VERSION;\n }\n\n public function getInstance(): Factory\n {\n return new Factory([\n 'key' => $this->accessToken,\n 'oauth2' => true,\n 'base_url' => $this->baseUrl,\n ]);\n }\n\n public function getNewInstance(): Discovery\n {\n return \\HubSpot\\Factory::createWithAccessToken($this->accessToken);\n }\n\n /**\n * Secondly and daily limits for Hubspot API\n *\n * Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)\n * Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds\n * Daily: 250,000 | 500,000 | 1,000,000\n *\n * Official documentation states: The search endpoints are rate limited to five requests per second.\n * Since with 5 RPS were still hitting secondly rate limits we lowered it to 4\n */\n public function getPaginatedData(array $payload, string $type, int $offset = 0): array\n {\n $total = 0;\n $lastId = null;\n $rows = [];\n foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {\n $rows[] = $row;\n }\n\n return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];\n }\n\n /**\n * @throws HubspotException\n * @throws SocialAccountTokenInvalidException\n * @throws BadRequest\n */\n public function getPaginatedDataGenerator(\n array $payload,\n string $type,\n int $offset = 0,\n int &$total = 0,\n ?string &$lastRecordId = null\n ): \\Generator {\n return $this->paginationService->getPaginatedDataGenerator(\n $this,\n $payload,\n $type,\n $offset,\n $total,\n $lastRecordId\n );\n }\n\n /**\n * Execute a search request against HubSpot CRM objects with rate limiting.\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n * @return array The search response with 'results', 'total', 'paging' keys\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n */\n public function search(string $objectType, array $payload): array\n {\n $endpoint = self::BASE_URL . \"/crm/v3/objects/{$objectType}/search\";\n\n return $this->executeRequest(function () use ($endpoint, $payload) {\n $response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);\n\n return $response->toArray();\n });\n }\n\n /**\n * @throws DealApiException\n * @throws CrmException\n */\n public function getOpportunityById(string $crmId, array $fields): array\n {\n try {\n// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n 'companies,contacts'\n );\n } catch (DealApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $deal instanceof DealWithAssociations) {\n throw new CrmException('Deal not found');\n }\n\n return [\n 'id' => $deal->getId(),\n 'properties' => $deal->getProperties(),\n 'associations' => $deal->getAssociations(),\n ];\n }\n\n /**\n * Generic batch read method for HubSpot objects\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts')\n * @param array<string> $crmIds Array of HubSpot object IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with object data\n */\n private function batchReadObjects(string $objectType, array $crmIds, array $fields): array\n {\n if (empty($crmIds)) {\n return [];\n }\n\n $this->validateBatchSize($objectType, $crmIds);\n $this->ensureValidToken();\n\n try {\n $batchConfig = $this->createBatchConfiguration($objectType);\n $batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);\n $response = $batchConfig['api']->read($batchReadRequest);\n\n $this->validateApiResponse($response, $objectType);\n\n $results = $this->processApiResults($response);\n $this->logBatchResults($objectType, $crmIds, $results);\n\n return $results;\n } catch (\\Throwable $e) {\n $this->handleBatchError($e, $objectType, $crmIds);\n }\n }\n\n private function validateBatchSize(string $objectType, array $crmIds): void\n {\n if (count($crmIds) > 100) {\n throw new \\InvalidArgumentException(\"Batch size cannot exceed 100 {$objectType}\");\n }\n }\n\n private function createBatchConfiguration(string $objectType): array\n {\n $configurations = [\n 'deals' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Deals\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Deals\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->deals()->batchApi(),\n ],\n 'companies' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Companies\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Companies\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->companies()->batchApi(),\n ],\n 'contacts' => [\n 'batchReadRequest' => new \\HubSpot\\Client\\Crm\\Contacts\\Model\\BatchReadInputSimplePublicObjectId(),\n 'inputClass' => \\HubSpot\\Client\\Crm\\Contacts\\Model\\SimplePublicObjectId::class,\n 'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),\n ],\n ];\n\n if (! isset($configurations[$objectType])) {\n throw new \\InvalidArgumentException(\"Unsupported object type: {$objectType}\");\n }\n\n return $configurations[$objectType];\n }\n\n private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object\n {\n $batchReadRequest = $batchConfig['batchReadRequest'];\n $inputClass = $batchConfig['inputClass'];\n\n $inputs = array_map(function ($crmId) use ($inputClass) {\n $input = new $inputClass();\n $input->setId($crmId);\n\n return $input;\n }, $crmIds);\n\n $batchReadRequest->setInputs($inputs);\n $batchReadRequest->setProperties($fields);\n\n return $batchReadRequest;\n }\n\n private function validateApiResponse($response, string $objectType): void\n {\n if (! $response) {\n throw new CrmException(\"HubSpot API returned null response for {$objectType} batch read\");\n }\n }\n\n private function processApiResults($response): array\n {\n $results = [];\n $responseResults = $response->getResults();\n\n if ($responseResults) {\n foreach ($responseResults as $object) {\n if ($object && $object->getId()) {\n $results[$object->getId()] = [\n 'id' => $object->getId(),\n 'properties' => $object->getProperties() ?: [],\n ];\n }\n }\n }\n\n return $results;\n }\n\n private function logBatchResults(string $objectType, array $crmIds, array $results): void\n {\n $this->log->info(\"[HubSpot] Batch fetched {$objectType}\", [\n 'requested_count' => count($crmIds),\n 'returned_count' => count($results),\n 'crm_ids' => $crmIds,\n ]);\n }\n\n private function handleBatchError(\\Throwable $e, string $objectType, array $crmIds): void\n {\n $errorMessage = $e->getMessage() ?: 'Unknown error';\n $errorTrace = $e->getTraceAsString() ?: 'No trace available';\n\n $this->log->error(\"[HubSpot] Failed to batch fetch {$objectType}\", [\n 'crm_ids' => $crmIds,\n 'error' => $errorMessage,\n 'trace' => $errorTrace,\n ]);\n\n throw new CrmException(\"Failed to batch fetch {$objectType}: \" . $errorMessage);\n }\n\n /**\n * Batch read multiple opportunities by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot deal IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with opportunity data\n */\n public function getOpportunitiesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('deals', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple companies by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot company IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with company data\n */\n public function getCompaniesByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('companies', $crmIds, $fields);\n }\n\n /**\n * Batch read multiple contacts by their CRM IDs\n *\n * @param array<string> $crmIds Array of HubSpot contact IDs (max 100)\n * @param array<string> $fields Array of property names to fetch\n *\n * @return array<string, array> Array keyed by CRM ID with contact data\n */\n public function getContactsByIds(array $crmIds, array $fields): array\n {\n return $this->batchReadObjects('contacts', $crmIds, $fields);\n }\n\n /**\n * @throws CompanyApiException\n * @throws CrmException\n */\n public function getAccountById(string $crmId, array $fields): array\n {\n try {\n $company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(\n $crmId,\n implode(',', $fields),\n );\n } catch (CompanyApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch account', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $company instanceof CompaniesWithAssociations) {\n throw new CrmException('Account not found');\n }\n\n return [\n 'id' => $company->getId(),\n 'properties' => $company->getProperties(),\n ];\n }\n\n /**\n * @throws ContactApiException\n * @throws CrmException\n */\n public function getContactById(string $crmId, array $fields): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $crmId,\n implode(',', $fields)\n );\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'crm_id' => $crmId,\n 'reason' => $e->getMessage(),\n ]);\n\n throw $e;\n }\n\n if (! $contact instanceof ContactsWithAssociations) {\n throw new CrmException('Contact not found');\n }\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n }\n\n /**\n * This is email search request that Hubspot offers as GET (more generous quota)\n */\n public function getContactByEmail(string $email, array $fields = []): array\n {\n try {\n $contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(\n $email,\n implode(',', $fields),\n null,\n false,\n 'email'\n );\n\n return [\n 'id' => $contact->getId(),\n 'properties' => $contact->getProperties(),\n ];\n } catch (ContactApiException $e) {\n $this->log->info('[Hubspot] Failed to fetch contact', [\n 'email' => $email,\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n }\n\n /**\n * @throws CrmException\n */\n public function fetchProperty(string $objectType, string $propertyId): Property\n {\n $result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);\n\n if (! $result instanceof Property) {\n $this->log->error('[Hubspot] Failed to fetch property', [\n 'object_type' => $objectType,\n 'property_id' => $propertyId,\n 'reason' => $result->getMessage(),\n ]);\n\n throw new CrmException('Failed to fetch property');\n }\n\n return $result;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchPropertyOptions(string $objectType, string $propertyId): array\n {\n /** @var array<CrmFieldOption> */\n return $this->fetchProperty($objectType, $propertyId)->getOptions();\n }\n\n /**\n * @return array<array{id:string, label:string, deleted:bool}>\n */\n public function fetchCallDispositions(): array\n {\n /** @var Response $response */\n $response = $this->getInstance()->engagements()->getCallDispositions();\n\n /**\n * @var array<array{\n * id:string,\n * label:string,\n * deleted: bool\n * }>\n */\n return $response->toArray();\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityPipelineStages(): array\n {\n $stages = [];\n $apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');\n\n if ($apiResponse instanceof Error) {\n $this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $apiResponse->getMessage(),\n ]);\n\n return [];\n }\n\n foreach ($apiResponse->getResults() as $pipeline) {\n $pipelineStages = array_map(\n static function (PipelineStage $stage) {\n return [\n 'id' => $stage->getId(),\n 'label' => $stage->getLabel(),\n ];\n },\n $pipeline->getStages()\n );\n\n $stages = array_merge($stages, $pipelineStages);\n }\n\n return $stages;\n }\n\n public function fetchOpportunityPipelines(): array\n {\n $pipelines = [];\n\n try {\n $apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');\n } catch (\\Exception $e) {\n $this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [\n 'reason' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n $response = $apiResponse->toArray();\n\n foreach ($response['results'] as $pipeline) {\n $pipelines[] = [\n 'id' => $pipeline['id'],\n 'label' => $pipeline['label'],\n ];\n }\n\n return $pipelines;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchMeetingOutcomeFieldOptions(Field $field): array\n {\n return $field->getCrmProviderId() === 'meetingOutcome'\n ? $this->fetchMeetingOutcomeTypes()\n : $this->fetchCallActivityTypes();\n }\n\n public function fetchMeetingOutcomeTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/meeting/hs_meeting_outcome'\n );\n }\n\n public function fetchCallActivityTypes(): array\n {\n return $this->extractMeetingTypeOptions(\n 'https://api.hubapi.com/crm/v3/properties/call/hs_activity_type'\n );\n }\n\n private function extractMeetingTypeOptions(string $endpoint): array\n {\n /** @var Response $response */\n $response = $this->getInstance()\n ->getClient()\n ->request('GET', $endpoint);\n\n /**\n * @var array<array{\n * value: string,\n * label: string,\n * displayOrder: int\n * }> $optionData\n */\n $optionData = $response->toArray()['options'] ?? [];\n\n $options = [];\n foreach ($optionData as $item) {\n $options[] = [\n 'id' => $item['value'],\n 'value' => $item['value'],\n 'label' => $item['label'],\n 'display_order' => $item['displayOrder'],\n ];\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchDispositionFieldOptions(): array\n {\n $options = [];\n\n $dispositions = $this->fetchCallDispositions();\n\n foreach ($dispositions as $disposition) {\n if ($disposition['deleted'] !== false) {\n continue;\n }\n\n $option['value'] = $disposition['id'];\n $option['id'] = $disposition['id'];\n $option['label'] = $disposition['label'];\n\n $options[] = $option;\n }\n\n return $options;\n }\n\n /**\n * @return array<CrmFieldOption>\n */\n public function fetchOpportunityFieldOptions(Field $field): array\n {\n if ($field->isStageField()) {\n return $this->fetchOpportunityPipelineStages();\n }\n\n if ($field->isPipelineField()) {\n return $this->fetchOpportunityPipelines();\n }\n\n return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)\n {\n $endpoint = self::BASE_URL . $endpoint;\n\n if ($method === 'GET') {\n $response = $this->getInstance()->getClient()?->request(\n method: $method,\n endpoint: $endpoint,\n query_string: $queryString\n );\n } else {\n $response = $this->getInstance()->getClient()->request($method, $endpoint, [\n 'json' => ($payload),\n ]);\n }\n//\n// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // \"110\"\n// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // \"109\"\n// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // \"10000\"\n// $body = json_decode((string) $response->getBody(), true);\n//\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));\n// \\Illuminate\\Support\\Facades\\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));\n\n return $response;\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function createMeeting(array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings';\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n /**\n * @throws BadRequest\n * @throws HubspotException\n */\n public function updateMeeting(string $meetingId, array $payload): Response\n {\n $endpoint = '/crm/v3/objects/meetings/' . $meetingId;\n\n return $this->makeRequest($endpoint, 'PATCH', $payload);\n }\n\n /**\n * @throws \\Exception\n */\n public function createNote(\n string $body,\n string $ownerId,\n int $timestamp,\n string $objectId,\n NoteObject $noteObject\n ): ?string {\n try {\n $noteInput = new SimplePublicObjectInput([\n 'properties' => [\n 'hs_note_body' => $body,\n 'hubspot_owner_id' => $ownerId,\n 'hs_timestamp' => $timestamp,\n ],\n ]);\n\n // Create note\n $note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);\n\n $this->getNewInstance()->crm()->objects()->associationsApi()->create(\n 'note',\n $note->getId(),\n $this->getNoteObject($noteObject),\n $objectId,\n $this->getNoteAssociationType($noteObject),\n );\n\n return $note->getId();\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to create note', [\n 'objectId' => $objectId,\n 'noteObject' => $noteObject->getObjectType(),\n 'reason' => $e->getMessage(),\n ]);\n\n \\Sentry::captureException($e);\n }\n\n return null;\n }\n\n public function updateEngagement(string $objectId, array $engagement, array $metadata): void\n {\n $this->getInstance()->engagements()->update($objectId, $engagement, $metadata);\n }\n\n public function getEngagementData(string $engagementId): array\n {\n $engagement = $this->getInstance()->engagements()->get($engagementId);\n\n return $engagement->toArray();\n }\n\n public function createEngagement(array $engagement, array $associations, array $metadata): Response\n {\n return $this->getInstance()\n ->engagements()\n ->create($engagement, $associations, $metadata);\n }\n\n public function isUnauthorizedException(\\Exception $e): bool\n {\n if ($e instanceof BadRequest\n || $e instanceof DealApiException\n || $e instanceof ContactApiException\n || $e instanceof CompanyApiException\n ) {\n return (int) $e->getCode() === 401;\n }\n\n if ($e instanceof \\GuzzleHttp\\Exception\\RequestException && $e->hasResponse()) {\n return $e->getResponse()?->getStatusCode() === 401;\n }\n\n $message = strtolower($e->getMessage());\n\n return str_contains($message, '401 unauthorized') ||\n str_contains($message, 'http 401') ||\n str_contains($message, 'status code 401') ||\n (preg_match('/\\b401\\b/', $message) === 1 && str_contains($message, 'unauthorized'));\n }\n\n /**\n * Validates and refreshes the access token if needed before API requests.\n * This ensures long-running processes don't fail due to token expiration.\n *\n * @throws SocialAccountTokenInvalidException\n */\n public function ensureValidToken(): void\n {\n if ($this->oauthAccount === null) {\n return;\n }\n\n $newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);\n if ($newToken !== null) {\n $this->accessToken = $newToken;\n }\n }\n\n public function getConfig()\n {\n return $this->config;\n }\n\n // returns only active (archived=false)\n public function getOwners(): array\n {\n return $this->getNewInstance()->crm()->owners()->getAll();\n }\n\n /**\n * @param bool $archived\n *\n * @return array<Owner>|[]\n */\n public function getOwnersArchived(bool $archived = true): array\n {\n $endpoint = '/crm/v3/owners';\n $queryParams = [\n 'archived' => $archived ? 'true' : 'false',\n ];\n $queryString = http_build_query($queryParams);\n\n $owners = [];\n\n try {\n $response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);\n $responseData = $response?->toArray();\n\n foreach ($responseData['results'] as $result) {\n try {\n $owners[] = Owner::create($result);\n } catch (Throwable $e) {\n $this->log->error('[HubSpot] Failed to process owner data', [\n 'result' => $result,\n 'error' => $e->getMessage(),\n ]);\n\n continue;\n }\n }\n } catch (Throwable $e) {\n $this->log->error('HubSpot] Failed to fetch owners', [\n 'archived' => $archived,\n 'error' => $e->getMessage(),\n ]);\n\n return [];\n }\n\n return $owners;\n }\n\n public function getMeeting(string $engagementId): ObjectWithAssociations\n {\n return $this->getNewInstance()->crm()->objects()->basicApi()\n ->getById('meeting', $engagementId, null, 'contact,company,deal');\n }\n\n public function deleteEngagement(string $engagementId): void\n {\n $this->getInstance()->engagements()->delete((int) $engagementId);\n }\n\n public function getAssociationsData(array $ids, string $fromObject, string $toObject): array\n {\n $associationData = [];\n $idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);\n\n foreach ($idChunks as $idChunk) {\n try {\n $batchInput = new \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchInputPublicObjectId();\n $batchInput->setInputs(array_map(function ($id) {\n $publicObjectId = new \\HubSpot\\Client\\Crm\\Associations\\Model\\PublicObjectId();\n $publicObjectId->setId($id);\n\n return $publicObjectId;\n }, $idChunk));\n\n $associatedObjectsData = $this\n ->getNewInstance()\n ->crm()\n ->associations()\n ->batchApi()\n ->read($fromObject, $toObject, $batchInput);\n\n if ($associatedObjectsData instanceof \\HubSpot\\Client\\Crm\\Associations\\Model\\BatchResponsePublicAssociationMulti) {\n foreach ($associatedObjectsData->getResults() as $association) {\n $from = $association->getFrom()->getId();\n $toAssociations = $association->getTo();\n\n if (! empty($toAssociations)) {\n $associationData[$from] = array_map(function ($item) {\n return $item->getId();\n }, $toAssociations);\n }\n }\n }\n } catch (RateLimitException $e) {\n throw $e;\n } catch (\\Exception $e) {\n $this->log->error('[Hubspot] Failed to fetch associations', [\n 'from_object' => $fromObject,\n 'to_object' => $toObject,\n 'reason' => $e->getMessage(),\n ]);\n }\n }\n\n return $associationData;\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteAssociationType(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'note_to_deal',\n NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it\n NoteObject::Account => 'note_to_company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n /**\n * @throws \\Exception\n */\n private function getNoteObject(NoteObject $noteObject): string\n {\n return match($noteObject) {\n NoteObject::Opportunity => 'deal',\n NoteObject::Lead, NoteObject::Contact => 'contact',\n NoteObject::Account => 'company',\n NoteObject::Call, NoteObject::Event => throw new \\Exception('Not supported'),\n };\n }\n\n public function addAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/create\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n\n public function removeAssociations(string $objectType, string $associationType, array $payload): Response\n {\n $endpoint = \"/crm/v4/associations/$objectType/$associationType/batch/archive\";\n\n return $this->makeRequest($endpoint, 'POST', $payload);\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"on_screen":true,"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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accessibility
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
// First try to get Retry-After from response headers
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
if (method_exists($e, 'getResponseBody')) {
$body = $e->getResponseBody();
if (is_string($body)) {
$body = json_decode($body, true) ?? [];
}
$policyName = $body['policyName'] ?? $body['policy'] ?? $body['context']['policyName'] ?? null;
if ($policyName === 'TEN_SECONDLY_ROLLING' || $policyName === 'ten_secondly_rolling') {
return 10;
}
if ($policyName === 'SECONDLY' || $policyName === 'secondly') {
return 1;
}
}
$this->log->warning('[Hubspot] No retry-after header or policy name found, using default', [
'exception_class' => get_class($e),
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
* @return array The search response with 'results', 'total', 'paging' keys
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
//
// $max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
// $remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
// $interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
// $body = json_decode((string) $response->getBody(), true);
//
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
// \Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
) {
return (int) $e->getCode() === 401;
}
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
return $e->getResponse()?->getStatusCode() === 401;
}
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) === 1 && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (RateLimitException $e) {
throw $e;
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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