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14849
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2026-05-10T18:39:55.156182+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438395156_m2.jpg...
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Claude
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Claude
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True
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NULL
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monitor_2
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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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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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13:08
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Edit...
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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 ... 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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}]...
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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
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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13:08
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Edit...
|
14847
|
NULL
|
NULL
|
NULL
|
|
14851
|
664
|
8
|
2026-05-10T18:40:25.484918+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438425484_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
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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
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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
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...
|
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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"},{"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"}]...
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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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14855
|
665
|
0
|
2026-05-10T18:42:10.658057+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438530658_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...
|
[{"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 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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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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"}]...
|
-2901497326792823679
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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...
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NULL
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NULL
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NULL
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NULL
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14857
|
665
|
1
|
2026-05-10T18:42:41.944176+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438561944_m1.jpg...
|
Claude
|
Claude
|
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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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?
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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You said: yes I will add cleanup later along other retention logic.
You said: yes I will add cleanup later along other retention logic.
yes I will add cleanup later along other retention logic. Lets move logs into logs folder in screenpipe on nas if not already
13:13
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|
[{"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 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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},{"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":"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 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"},{"role":"AXStaticText","text":"yes I will add cleanup later along other retention logic. Lets move logs into logs folder in screenpipe on nas if not already","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:13","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}]...
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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.
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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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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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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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You said: yes I will add cleanup later along other retention logic.
You said: yes I will add cleanup later along other retention logic.
yes I will add cleanup later along other retention logic. Lets move logs into logs folder in screenpipe on nas if not already
13:13
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|
14855
|
NULL
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NULL
|
NULL
|
|
14860
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665
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2
|
2026-05-10T18:43:12.271827+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438592271_m1.jpg...
|
Claude
|
Claude
|
True
|
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).
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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
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
Retry
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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...
|
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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"},{"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"}]...
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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
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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14862
|
665
|
3
|
2026-05-10T18:43:42.579075+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438622579_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
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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...
|
[{"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 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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"}]...
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7793232010732555280
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idle
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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
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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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...
|
14860
|
NULL
|
NULL
|
NULL
|
|
14865
|
665
|
4
|
2026-05-10T18:44:10.378152+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438650378_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
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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.
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
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...
|
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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"},{"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"}]...
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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
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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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14867
|
665
|
5
|
2026-05-10T18:44:11.042863+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438651042_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
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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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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...
|
[{"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 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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. 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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"}]...
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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:
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...
|
14865
|
NULL
|
NULL
|
NULL
|
|
14869
|
665
|
6
|
2026-05-10T18:44:13.473066+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438653473_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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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.
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
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...
|
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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"}]...
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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):
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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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14871
|
665
|
7
|
2026-05-10T18:44:43.812587+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438683812_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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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
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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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):
Copy to clipboard...
|
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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"},{"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}]...
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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:
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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
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:
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...
|
14869
|
NULL
|
NULL
|
NULL
|
|
14873
|
665
|
8
|
2026-05-10T18:45:14.127078+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438714127_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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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
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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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):
Copy to clipboard
bash
find
"
$HOME
/.screenpipe"
-maxdepth
1
-name
"screenpipe.*.log"
-mtime +7 -delete...
|
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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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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"}]...
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1373190669814855189
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8360685563245413394
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idle
|
accessibility
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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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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.
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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14875
|
665
|
9
|
2026-05-10T18:45:44.466812+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438744466_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).
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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)
Show more
13:08
Retry
Edit
Copy
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/...
|
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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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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"}]...
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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
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:
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/...
|
14873
|
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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5434244380269913773
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app_switch
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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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2026-05-10T18:42:41.543158+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438561543_m2.jpg...
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Claude
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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.
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...
|
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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}]...
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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.
Show more
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
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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.
Copy
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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...
|
14854
|
NULL
|
NULL
|
NULL
|
|
14858
|
666
|
2
|
2026-05-10T18:42:54.243712+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438574243_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.
Show more
11:58
Retry
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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
Retry
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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...
|
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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"},{"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"}]...
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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:
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
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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14859
|
666
|
3
|
2026-05-10T18:42:57.290667+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438577290_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
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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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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
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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...
|
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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 ... 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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}]...
|
3973082783107530145
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7784225361233626130
|
visual_change
|
accessibility
|
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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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:
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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...
|
14858
|
NULL
|
NULL
|
NULL
|
|
14861
|
666
|
4
|
2026-05-10T18:43:27.638275+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438607638_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
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
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. 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":". 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"},{"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"}]...
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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
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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):...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14863
|
666
|
5
|
2026-05-10T18:43:57.998848+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438637998_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
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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...
|
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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. 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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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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":"). 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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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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"},{"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"}]...
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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
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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...
|
14861
|
NULL
|
NULL
|
NULL
|
|
14864
|
666
|
6
|
2026-05-10T18:44:10.357938+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438650357_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:
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)....
|
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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. 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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"}]...
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8735168422545632504
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7363349354682876950
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click
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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)....
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NULL
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NULL
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NULL
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NULL
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14866
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666
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7
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2026-05-10T18:44:10.885432+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438650885_m2.jpg...
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Claude
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Claude
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True
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NULL
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monitor_2
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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
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...
|
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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. 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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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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":"). 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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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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"},{"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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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
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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...
|
14864
|
NULL
|
NULL
|
NULL
|
|
14868
|
666
|
8
|
2026-05-10T18:44:13.467398+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438653467_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
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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
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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"....
|
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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. 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"}]...
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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.
Show more
11:58
Retry
Edit
Copy
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
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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"....
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14870
|
666
|
9
|
2026-05-10T18:44:18.861769+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438658861_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.
Show more
11:58
Edit
Copy
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
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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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
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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:
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...
|
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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":0.28224733,"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 is responding","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":"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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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"}]...
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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.
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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
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...
|
14868
|
NULL
|
NULL
|
NULL
|
|
14872
|
666
|
10
|
2026-05-10T18:44:49.204498+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438689204_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Screenpipe sync script failing after recent migrations
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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.
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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
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...
|
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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"},{"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"}]...
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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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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 ~/.
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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14874
|
666
|
11
|
2026-05-10T18:45:19.547761+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438719547_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:
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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):
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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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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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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"},{"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}]...
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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:
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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
Edit...
|
14872
|
NULL
|
NULL
|
NULL
|
|
14876
|
666
|
12
|
2026-05-10T18:45:49.902409+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438749902_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
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monitor_2
|
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
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...
|
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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"}]...
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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:
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...
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666
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13
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2026-05-10T18:46:04.837061+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438764837_m2.jpg...
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Claude
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Claude
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True
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NULL
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monitor_2
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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
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
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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}]...
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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
Download all
Copy...
|
14876
|
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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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
—...
|
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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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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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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
—...
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2026-05-10T18:46:44.419312+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438804419_m1.jpg...
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Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenp Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Duplication rate per date (elements only)
SELECT
date(f.timestamp) AS day,
COUNT(*) AS rows,
COUNT(DISTINCT e.id) AS uniq,
COUNT(*) - COUNT(DISTINCT e.id) AS dups,
ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct
FROM elements e
JOIN frames f ON e.frame_id = f.id
GROUP BY day
ORDER BY day DESC
LIMIT 20;
-- Same check for frames (sanity — should be 0% across the board)
SELECT
date(timestamp) AS day,
COUNT(*) - COUNT(DISTINCT id) AS dups
FROM frames
GROUP BY day
HAVING dups > 0
LIMIT 10;
SQL
day rows uniq dups dup_pct
---------- ------- ------ ------ -------
2026-05-08 779085 747320 31765 4.08
2026-05-07 623002 623002 0 0.0
2026-05-06 19825 19825 0 0.0
2026-04-28 407532 407532 0 0.0
2026-04-27 470235 470235 0 0.0
2026-04-25 79155 79155 0 0.0
2026-04-24 297071 297071 0 0.0
2026-04-23 208937 208937 0 0.0
2026-04-22 332442 332442 0 0.0
2026-04-21 702947 702947 0 0.0
2026-04-20 687142 687142 0 0.0
2026-04-17 705322 705322 0 0.0
2026-04-16 592087 592087 0 0.0
2026-04-15 886876 886876 0 0.0
2026-04-14 1068016 747320 320696 30.03
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Are frame ids reused across capture eras?
SELECT id, COUNT(*) AS copies,
GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
FROM frames
GROUP BY id
HAVING copies > 1
ORDER BY copies DESC
LIMIT 10;
-- How many frame ids overlap?
SELECT
COUNT(*) AS total_frames,
COUNT(DISTINCT id) AS unique_ids,
COUNT(*) - COUNT(DISTINCT id) AS reused_ids
FROM frames;
-- What's the frame id range pre/post the gap?
SELECT
CASE 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 frames
FROM frames
GROUP BY era;
SQL
Parse error near line 5: near "ORDER": syntax error
S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
error here ---^
total_frames unique_ids reused_ids
------------ ---------- ----------
96749 93310 3439
era min_id max_id frames
-------------- ------ ------ ------
post-reinstall 1 11475 11475
pre-reinstall 8037 95059 85274
Adm1n@DXP4800PLUS-B5F8:~$
DOCKER
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screenpipe"
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Duplication rate per date (elements only)\nSELECT\n date(f.timestamp) AS day,\n COUNT(*) AS rows,\n COUNT(DISTINCT e.id) AS uniq,\n COUNT(*) - COUNT(DISTINCT e.id) AS dups,\n ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct\nFROM elements e\nJOIN frames f ON e.frame_id = f.id\nGROUP BY day\nORDER BY day DESC\nLIMIT 20;\n\n-- Same check for frames (sanity — should be 0% across the board)\nSELECT\n date(timestamp) AS day,\n COUNT(*) - COUNT(DISTINCT id) AS dups\nFROM frames\nGROUP BY day\nHAVING dups > 0\nLIMIT 10;\nSQL\nday rows uniq dups dup_pct\n---------- ------- ------ ------ -------\n2026-05-08 779085 747320 31765 4.08 \n2026-05-07 623002 623002 0 0.0 \n2026-05-06 19825 19825 0 0.0 \n2026-04-28 407532 407532 0 0.0 \n2026-04-27 470235 470235 0 0.0 \n2026-04-25 79155 79155 0 0.0 \n2026-04-24 297071 297071 0 0.0 \n2026-04-23 208937 208937 0 0.0 \n2026-04-22 332442 332442 0 0.0 \n2026-04-21 702947 702947 0 0.0 \n2026-04-20 687142 687142 0 0.0 \n2026-04-17 705322 705322 0 0.0 \n2026-04-16 592087 592087 0 0.0 \n2026-04-15 886876 886876 0 0.0 \n2026-04-14 1068016 747320 320696 30.03 \nAdm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Are frame ids reused across capture eras?\nSELECT id, COUNT(*) AS copies,\n GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\nFROM frames\nGROUP BY id\nHAVING copies > 1\nORDER BY copies DESC\nLIMIT 10;\n\n-- How many frame ids overlap?\nSELECT\n COUNT(*) AS total_frames,\n COUNT(DISTINCT id) AS unique_ids,\n COUNT(*) - COUNT(DISTINCT id) AS reused_ids\nFROM frames;\n\n-- What's the frame id range pre/post the gap?\nSELECT\n CASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,\n MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS frames\nFROM frames\nGROUP BY era;\nSQL\nParse error near line 5: near \"ORDER\": syntax error\n S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\n error here ---^\ntotal_frames unique_ids reused_ids\n------------ ---------- ----------\n96749 93310 3439 \nera min_id max_id frames\n-------------- ------ ------ ------\npost-reinstall 1 11475 11475 \npre-reinstall 8037 95059 85274 \nAdm1n@DXP4800PLUS-B5F8:~$","depth":4,"on_screen":true,"value":"Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Duplication rate per date (elements only)\nSELECT\n date(f.timestamp) AS day,\n COUNT(*) AS rows,\n COUNT(DISTINCT e.id) AS uniq,\n COUNT(*) - COUNT(DISTINCT e.id) AS dups,\n ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct\nFROM elements e\nJOIN frames f ON e.frame_id = f.id\nGROUP BY day\nORDER BY day DESC\nLIMIT 20;\n\n-- Same check for frames (sanity — should be 0% across the board)\nSELECT\n date(timestamp) AS day,\n COUNT(*) - COUNT(DISTINCT id) AS dups\nFROM frames\nGROUP BY day\nHAVING dups > 0\nLIMIT 10;\nSQL\nday rows uniq dups dup_pct\n---------- ------- ------ ------ -------\n2026-05-08 779085 747320 31765 4.08 \n2026-05-07 623002 623002 0 0.0 \n2026-05-06 19825 19825 0 0.0 \n2026-04-28 407532 407532 0 0.0 \n2026-04-27 470235 470235 0 0.0 \n2026-04-25 79155 79155 0 0.0 \n2026-04-24 297071 297071 0 0.0 \n2026-04-23 208937 208937 0 0.0 \n2026-04-22 332442 332442 0 0.0 \n2026-04-21 702947 702947 0 0.0 \n2026-04-20 687142 687142 0 0.0 \n2026-04-17 705322 705322 0 0.0 \n2026-04-16 592087 592087 0 0.0 \n2026-04-15 886876 886876 0 0.0 \n2026-04-14 1068016 747320 320696 30.03 \nAdm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Are frame ids reused across capture eras?\nSELECT id, COUNT(*) AS copies,\n GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\nFROM frames\nGROUP BY id\nHAVING copies > 1\nORDER BY copies DESC\nLIMIT 10;\n\n-- How many frame ids overlap?\nSELECT\n COUNT(*) AS total_frames,\n COUNT(DISTINCT id) AS unique_ids,\n COUNT(*) - COUNT(DISTINCT id) AS reused_ids\nFROM frames;\n\n-- What's the frame id range pre/post the gap?\nSELECT\n CASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,\n MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS frames\nFROM frames\nGROUP BY era;\nSQL\nParse error near line 5: near \"ORDER\": syntax error\n S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\n error here ---^\ntotal_frames unique_ids reused_ids\n------------ ---------- ----------\n96749 93310 3439 \nera min_id max_id frames\n-------------- ------ ------ ------\npost-reinstall 1 11475 11475 \npre-reinstall 8037 95059 85274 \nAdm1n@DXP4800PLUS-B5F8:~$","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":"ssh","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":"ssh","depth":1,"bounds":{"left":0.49027777,"top":0.033333335,"width":0.01875,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-4507081704318948020
|
910388717307565896
|
visual_change
|
accessibility
|
NULL
|
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenp Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Duplication rate per date (elements only)
SELECT
date(f.timestamp) AS day,
COUNT(*) AS rows,
COUNT(DISTINCT e.id) AS uniq,
COUNT(*) - COUNT(DISTINCT e.id) AS dups,
ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct
FROM elements e
JOIN frames f ON e.frame_id = f.id
GROUP BY day
ORDER BY day DESC
LIMIT 20;
-- Same check for frames (sanity — should be 0% across the board)
SELECT
date(timestamp) AS day,
COUNT(*) - COUNT(DISTINCT id) AS dups
FROM frames
GROUP BY day
HAVING dups > 0
LIMIT 10;
SQL
day rows uniq dups dup_pct
---------- ------- ------ ------ -------
2026-05-08 779085 747320 31765 4.08
2026-05-07 623002 623002 0 0.0
2026-05-06 19825 19825 0 0.0
2026-04-28 407532 407532 0 0.0
2026-04-27 470235 470235 0 0.0
2026-04-25 79155 79155 0 0.0
2026-04-24 297071 297071 0 0.0
2026-04-23 208937 208937 0 0.0
2026-04-22 332442 332442 0 0.0
2026-04-21 702947 702947 0 0.0
2026-04-20 687142 687142 0 0.0
2026-04-17 705322 705322 0 0.0
2026-04-16 592087 592087 0 0.0
2026-04-15 886876 886876 0 0.0
2026-04-14 1068016 747320 320696 30.03
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Are frame ids reused across capture eras?
SELECT id, COUNT(*) AS copies,
GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
FROM frames
GROUP BY id
HAVING copies > 1
ORDER BY copies DESC
LIMIT 10;
-- How many frame ids overlap?
SELECT
COUNT(*) AS total_frames,
COUNT(DISTINCT id) AS unique_ids,
COUNT(*) - COUNT(DISTINCT id) AS reused_ids
FROM frames;
-- What's the frame id range pre/post the gap?
SELECT
CASE 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 frames
FROM frames
GROUP BY era;
SQL
Parse error near line 5: near "ORDER": syntax error
S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
error here ---^
total_frames unique_ids reused_ids
------------ ---------- ----------
96749 93310 3439
era min_id max_id frames
-------------- ------ ------ ------
post-reinstall 1 11475 11475
pre-reinstall 8037 95059 85274
Adm1n@DXP4800PLUS-B5F8:~$
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
ssh...
|
NULL
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NULL
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NULL
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NULL
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|
14886
|
667
|
2
|
2026-05-10T18:46:53.472762+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438813472_m1.jpg...
|
CoreServicesUIAgent
|
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Verifying “Claude.app”…
stop progress
|
[{"role":"AXStaticText","text& [{"role":"AXStaticText","text":"Verifying “Claude.app”…","depth":1,"bounds":{"left":0.12708333,"top":0.86333334,"width":0.22222222,"height":0.015555556},"on_screen":true,"automation_id":"_NS:63","role_description":"text"},{"role":"AXButton","text":"stop progress","depth":1,"bounds":{"left":0.35,"top":0.8761111,"width":0.009027778,"height":0.02},"on_screen":true,"automation_id":"_NS:13","role_description":"button","is_enabled":true,"is_focused":true}]...
|
-4266093937708776007
|
361189853745945120
|
visual_change
|
hybrid
|
NULL
|
Verifying “Claude.app”…
stop progress
iTerm2ShellE Verifying “Claude.app”…
stop progress
iTerm2ShellEditViewSessionScriptsProfilesWindowHelpC→0 ll 0| Daily - Platform • in 11h 59 msshDOCKER• 881DEV (-zsh)O 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• x4|-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,idspoused ids96749eraVerifying "Claude.app"...max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 285screenpipe"• *6ssh100% <78•Sun 10 May 21:46:53T8187-zsh*8...
|
14885
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NULL
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NULL
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NULL
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14887
|
667
|
3
|
2026-05-10T18:46:56.491546+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438816491_m1.jpg...
|
iTerm2
|
NULL
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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iTerm2ShellEditViewSessionScriptsProfilesWindow He iTerm2ShellEditViewSessionScriptsProfilesWindow Help‹ >0 l| • | Daily - Platform • in 11h 59 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'.headers on-mode column-zsh• x4|-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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• ₴5|screenpipe"• ₴6ssh87Sun 10 May 21:46:56-zshT81*8...
|
NULL
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-6774520947768118156
|
NULL
|
visual_change
|
ocr
|
NULL
|
iTerm2ShellEditViewSessionScriptsProfilesWindow He iTerm2ShellEditViewSessionScriptsProfilesWindow Help‹ >0 l| • | Daily - Platform • in 11h 59 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'.headers on-mode column-zsh• x4|-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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• ₴5|screenpipe"• ₴6ssh87Sun 10 May 21:46:56-zshT81*8...
|
NULL
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NULL
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NULL
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NULL
|
|
14890
|
667
|
4
|
2026-05-10T18:47:27.070885+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438847070_m1.jpg...
|
iTerm2
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NULL
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True
|
NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 58 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:47:26-zshT81*8...
|
NULL
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-2113551276656422597
|
NULL
|
idle
|
ocr
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 58 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:47:26-zshT81*8...
|
14887
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NULL
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NULL
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NULL
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|
14892
|
667
|
5
|
2026-05-10T18:47:57.489121+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438877489_m1.jpg...
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iTerm2
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NULL
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 58 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:47:56-zshT81*8...
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NULL
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-4074018316766435583
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NULL
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idle
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ocr
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NULL
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ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 58 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:47:56-zshT81*8...
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NULL
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NULL
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NULL
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NULL
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14894
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667
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6
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2026-05-10T18:48:27.902126+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438907902_m1.jpg...
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iTerm2
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NULL
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily - Platform • in 11h 57 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'. headers on-mode column-zsh• x4|-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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:48:27-zshT81*8+...
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NULL
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1331076153536230771
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NULL
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idle
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ocr
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NULL
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ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily - Platform • in 11h 57 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'. headers on-mode column-zsh• x4|-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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:48:27-zshT81*8+...
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14892
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NULL
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NULL
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NULL
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14896
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667
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7
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2026-05-10T18:48:47.139759+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438927139_m1.jpg...
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iTerm2
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NULL
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily - Platform • in 11h 57 m100% <7sshDOCKER• 81DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'. headers on-mode column-zsh• x4|-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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:48:47-zshT81+...
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NULL
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6339442364106955835
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NULL
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click
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ocr
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NULL
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ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily - Platform • in 11h 57 m100% <7sshDOCKER• 81DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'. headers on-mode column-zsh• x4|-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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:48:47-zshT81+...
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NULL
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NULL
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NULL
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NULL
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14898
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667
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8
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2026-05-10T18:48:48.121250+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438928121_m1.jpg...
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iTerm2
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ssh
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenp Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Duplication rate per date (elements only)
SELECT
date(f.timestamp) AS day,
COUNT(*) AS rows,
COUNT(DISTINCT e.id) AS uniq,
COUNT(*) - COUNT(DISTINCT e.id) AS dups,
ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct
FROM elements e
JOIN frames f ON e.frame_id = f.id
GROUP BY day
ORDER BY day DESC
LIMIT 20;
-- Same check for frames (sanity — should be 0% across the board)
SELECT
date(timestamp) AS day,
COUNT(*) - COUNT(DISTINCT id) AS dups
FROM frames
GROUP BY day
HAVING dups > 0
LIMIT 10;
SQL
day rows uniq dups dup_pct
---------- ------- ------ ------ -------
2026-05-08 779085 747320 31765 4.08
2026-05-07 623002 623002 0 0.0
2026-05-06 19825 19825 0 0.0
2026-04-28 407532 407532 0 0.0
2026-04-27 470235 470235 0 0.0
2026-04-25 79155 79155 0 0.0
2026-04-24 297071 297071 0 0.0
2026-04-23 208937 208937 0 0.0
2026-04-22 332442 332442 0 0.0
2026-04-21 702947 702947 0 0.0
2026-04-20 687142 687142 0 0.0
2026-04-17 705322 705322 0 0.0
2026-04-16 592087 592087 0 0.0
2026-04-15 886876 886876 0 0.0
2026-04-14 1068016 747320 320696 30.03
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Are frame ids reused across capture eras?
SELECT id, COUNT(*) AS copies,
GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
FROM frames
GROUP BY id
HAVING copies > 1
ORDER BY copies DESC
LIMIT 10;
-- How many frame ids overlap?
SELECT
COUNT(*) AS total_frames,
COUNT(DISTINCT id) AS unique_ids,
COUNT(*) - COUNT(DISTINCT id) AS reused_ids
FROM frames;
-- What's the frame id range pre/post the gap?
SELECT
CASE 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 frames
FROM frames
GROUP BY era;
SQL
Parse error near line 5: near "ORDER": syntax error
S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
error here ---^
total_frames unique_ids reused_ids
------------ ---------- ----------
96749 93310 3439
era min_id max_id frames
-------------- ------ ------ ------
post-reinstall 1 11475 11475
pre-reinstall 8037 95059 85274
Adm1n@DXP4800PLUS-B5F8:~$
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
ssh...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Duplication rate per date (elements only)\nSELECT\n date(f.timestamp) AS day,\n COUNT(*) AS rows,\n COUNT(DISTINCT e.id) AS uniq,\n COUNT(*) - COUNT(DISTINCT e.id) AS dups,\n ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct\nFROM elements e\nJOIN frames f ON e.frame_id = f.id\nGROUP BY day\nORDER BY day DESC\nLIMIT 20;\n\n-- Same check for frames (sanity — should be 0% across the board)\nSELECT\n date(timestamp) AS day,\n COUNT(*) - COUNT(DISTINCT id) AS dups\nFROM frames\nGROUP BY day\nHAVING dups > 0\nLIMIT 10;\nSQL\nday rows uniq dups dup_pct\n---------- ------- ------ ------ -------\n2026-05-08 779085 747320 31765 4.08 \n2026-05-07 623002 623002 0 0.0 \n2026-05-06 19825 19825 0 0.0 \n2026-04-28 407532 407532 0 0.0 \n2026-04-27 470235 470235 0 0.0 \n2026-04-25 79155 79155 0 0.0 \n2026-04-24 297071 297071 0 0.0 \n2026-04-23 208937 208937 0 0.0 \n2026-04-22 332442 332442 0 0.0 \n2026-04-21 702947 702947 0 0.0 \n2026-04-20 687142 687142 0 0.0 \n2026-04-17 705322 705322 0 0.0 \n2026-04-16 592087 592087 0 0.0 \n2026-04-15 886876 886876 0 0.0 \n2026-04-14 1068016 747320 320696 30.03 \nAdm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Are frame ids reused across capture eras?\nSELECT id, COUNT(*) AS copies,\n GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\nFROM frames\nGROUP BY id\nHAVING copies > 1\nORDER BY copies DESC\nLIMIT 10;\n\n-- How many frame ids overlap?\nSELECT\n COUNT(*) AS total_frames,\n COUNT(DISTINCT id) AS unique_ids,\n COUNT(*) - COUNT(DISTINCT id) AS reused_ids\nFROM frames;\n\n-- What's the frame id range pre/post the gap?\nSELECT\n CASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,\n MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS frames\nFROM frames\nGROUP BY era;\nSQL\nParse error near line 5: near \"ORDER\": syntax error\n S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\n error here ---^\ntotal_frames unique_ids reused_ids\n------------ ---------- ----------\n96749 93310 3439 \nera min_id max_id frames\n-------------- ------ ------ ------\npost-reinstall 1 11475 11475 \npre-reinstall 8037 95059 85274 \nAdm1n@DXP4800PLUS-B5F8:~$","depth":4,"on_screen":true,"value":"Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Duplication rate per date (elements only)\nSELECT\n date(f.timestamp) AS day,\n COUNT(*) AS rows,\n COUNT(DISTINCT e.id) AS uniq,\n COUNT(*) - COUNT(DISTINCT e.id) AS dups,\n ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct\nFROM elements e\nJOIN frames f ON e.frame_id = f.id\nGROUP BY day\nORDER BY day DESC\nLIMIT 20;\n\n-- Same check for frames (sanity — should be 0% across the board)\nSELECT\n date(timestamp) AS day,\n COUNT(*) - COUNT(DISTINCT id) AS dups\nFROM frames\nGROUP BY day\nHAVING dups > 0\nLIMIT 10;\nSQL\nday rows uniq dups dup_pct\n---------- ------- ------ ------ -------\n2026-05-08 779085 747320 31765 4.08 \n2026-05-07 623002 623002 0 0.0 \n2026-05-06 19825 19825 0 0.0 \n2026-04-28 407532 407532 0 0.0 \n2026-04-27 470235 470235 0 0.0 \n2026-04-25 79155 79155 0 0.0 \n2026-04-24 297071 297071 0 0.0 \n2026-04-23 208937 208937 0 0.0 \n2026-04-22 332442 332442 0 0.0 \n2026-04-21 702947 702947 0 0.0 \n2026-04-20 687142 687142 0 0.0 \n2026-04-17 705322 705322 0 0.0 \n2026-04-16 592087 592087 0 0.0 \n2026-04-15 886876 886876 0 0.0 \n2026-04-14 1068016 747320 320696 30.03 \nAdm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Are frame ids reused across capture eras?\nSELECT id, COUNT(*) AS copies,\n GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\nFROM frames\nGROUP BY id\nHAVING copies > 1\nORDER BY copies DESC\nLIMIT 10;\n\n-- How many frame ids overlap?\nSELECT\n COUNT(*) AS total_frames,\n COUNT(DISTINCT id) AS unique_ids,\n COUNT(*) - COUNT(DISTINCT id) AS reused_ids\nFROM frames;\n\n-- What's the frame id range pre/post the gap?\nSELECT\n CASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,\n MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS frames\nFROM frames\nGROUP BY era;\nSQL\nParse error near line 5: near \"ORDER\": syntax error\n S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\n error here ---^\ntotal_frames unique_ids reused_ids\n------------ ---------- ----------\n96749 93310 3439 \nera min_id max_id frames\n-------------- ------ ------ ------\npost-reinstall 1 11475 11475 \npre-reinstall 8037 95059 85274 \nAdm1n@DXP4800PLUS-B5F8:~$","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 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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":"ssh","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":"ssh","depth":1,"bounds":{"left":0.49027777,"top":0.033333335,"width":0.01875,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-4507081704318948020
|
910388717307565896
|
visual_change
|
accessibility
|
NULL
|
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenp Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Duplication rate per date (elements only)
SELECT
date(f.timestamp) AS day,
COUNT(*) AS rows,
COUNT(DISTINCT e.id) AS uniq,
COUNT(*) - COUNT(DISTINCT e.id) AS dups,
ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct
FROM elements e
JOIN frames f ON e.frame_id = f.id
GROUP BY day
ORDER BY day DESC
LIMIT 20;
-- Same check for frames (sanity — should be 0% across the board)
SELECT
date(timestamp) AS day,
COUNT(*) - COUNT(DISTINCT id) AS dups
FROM frames
GROUP BY day
HAVING dups > 0
LIMIT 10;
SQL
day rows uniq dups dup_pct
---------- ------- ------ ------ -------
2026-05-08 779085 747320 31765 4.08
2026-05-07 623002 623002 0 0.0
2026-05-06 19825 19825 0 0.0
2026-04-28 407532 407532 0 0.0
2026-04-27 470235 470235 0 0.0
2026-04-25 79155 79155 0 0.0
2026-04-24 297071 297071 0 0.0
2026-04-23 208937 208937 0 0.0
2026-04-22 332442 332442 0 0.0
2026-04-21 702947 702947 0 0.0
2026-04-20 687142 687142 0 0.0
2026-04-17 705322 705322 0 0.0
2026-04-16 592087 592087 0 0.0
2026-04-15 886876 886876 0 0.0
2026-04-14 1068016 747320 320696 30.03
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Are frame ids reused across capture eras?
SELECT id, COUNT(*) AS copies,
GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
FROM frames
GROUP BY id
HAVING copies > 1
ORDER BY copies DESC
LIMIT 10;
-- How many frame ids overlap?
SELECT
COUNT(*) AS total_frames,
COUNT(DISTINCT id) AS unique_ids,
COUNT(*) - COUNT(DISTINCT id) AS reused_ids
FROM frames;
-- What's the frame id range pre/post the gap?
SELECT
CASE 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 frames
FROM frames
GROUP BY era;
SQL
Parse error near line 5: near "ORDER": syntax error
S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
error here ---^
total_frames unique_ids reused_ids
------------ ---------- ----------
96749 93310 3439
era min_id max_id frames
-------------- ------ ------ ------
post-reinstall 1 11475 11475
pre-reinstall 8037 95059 85274
Adm1n@DXP4800PLUS-B5F8:~$
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
ssh...
|
14896
|
NULL
|
NULL
|
NULL
|
|
14900
|
667
|
9
|
2026-05-10T18:48:57.254670+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438937254_m1.jpg...
|
CoreServicesUIAgent
|
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Verifying “Claude.app”…
stop progress
|
[{"role":"AXStaticText","text& [{"role":"AXStaticText","text":"Verifying “Claude.app”…","depth":1,"bounds":{"left":0.12708333,"top":0.86333334,"width":0.22222222,"height":0.015555556},"on_screen":true,"automation_id":"_NS:63","role_description":"text"},{"role":"AXButton","text":"stop progress","depth":1,"bounds":{"left":0.35,"top":0.8761111,"width":0.009027778,"height":0.02},"on_screen":true,"automation_id":"_NS:13","role_description":"button","is_enabled":true,"is_focused":true}]...
|
-4266093937708776007
|
361189853745945120
|
visual_change
|
hybrid
|
NULL
|
Verifying “Claude.app”…
stop progress
iTerm2ShellE Verifying “Claude.app”…
stop progress
iTerm2ShellEditViewSessionScriptsProfilesWindowHelpssh‹ >0 lolI Daily - Platform • in 11h 57 m-zsh• 285screenpipe"• *6DOCKER• 881DEV (-zsh)O 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• x4-- 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 ids reused ids96749era93Verifying "Claude.app"...post-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274ssh100% (<8•Sun 10 May 21:48:57T8187-zsh*8+...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14901
|
667
|
10
|
2026-05-10T18:49:00.258798+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438940258_m1.jpg...
|
iTerm2
|
NULL
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily - Platform • in 11h 57 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:00-zshT81*8...
|
NULL
|
88742290790935686
|
NULL
|
visual_change
|
ocr
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily ClaudeFileEditViewWindowHelp‹ >0 (h| • | Daily - Platform • in 11h 57 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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_ids196749era93310min_id3439max_idframespost-reinstall1pre-reinstall8037Adm1n@DXP4800PLUS-B5F8:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:00-zshT81*8...
|
14900
|
NULL
|
NULL
|
NULL
|
|
14904
|
667
|
11
|
2026-05-10T18:49:14.853035+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438954853_m1.jpg...
|
iTerm2
|
NULL
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:14-zshT81*8...
|
NULL
|
6087478024746962243
|
NULL
|
click
|
ocr
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:14-zshT81*8...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14907
|
667
|
12
|
2026-05-10T18:49:19.538405+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438959538_m1.jpg...
|
iTerm2
|
NULL
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:19-zshT81*8...
|
NULL
|
7869334511316620086
|
NULL
|
click
|
ocr
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:19-zshT81*8...
|
14904
|
NULL
|
NULL
|
NULL
|
|
14912
|
667
|
13
|
2026-05-10T18:49:34.290243+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438974290_m1.jpg...
|
iTerm2
|
NULL
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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:~$11475950591147585274• 85screenpipe"• ₴6ssh87Sun 10 May 21:49:34-zshT81*8...
|
NULL
|
2615396981590826004
|
NULL
|
click
|
ocr
|
NULL
|
ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - ClaudeFileEditViewWindowHelp‹ >0 l| • | Daily - Platform • in 11h 56 m100% <7sshDOCKER• 881DEV (-zsh)О 82APP (-zsh)• *32026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-[CREDIT_CARD].02026-04-14106801674732032069630.03Adm1n@DXP4800PLUS-B5F8:~$ 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"• ₴6ssh87Sun 10 May 21:49:34-zshT81*8...
|
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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Bulgarian citizenship application process for EU residents
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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
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
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claude
Option B — Claude Code custom slash command (most ergonomic):...
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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 ... 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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
|
|
14881
|
668
|
1
|
2026-05-10T18:46:38.154321+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438798154_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...
|
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collapse","depth":16,"bounds":{"left":0.10239362,"top":0.2952913,"width":0.030585106,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.10239362,"top":0.2952913,"width":0.0029920214,"height":0.011971269}},{"char_start":1,"char_count":16,"bounds":{"left":0.10538564,"top":0.2952913,"width":0.027925532,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"⌘B","depth":16,"bounds":{"left":0.1349734,"top":0.2952913,"width":0.0063164895,"height":0.011971269},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to resize","depth":16,"bounds":{"left":0.10239362,"top":0.30726257,"width":0.025930852,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.10239362,"top":0.30726257,"width":0.0029920214,"height":0.011971269}},{"char_start":1,"char_count":13,"bounds":{"left":0.10538564,"top":0.30726257,"width":0.022938829,"height":0.011971269}}],"role_description":"text"},{"role":"AXButton","text":"Collapse 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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"}]...
|
-1693492503929296891
|
8360685563781235730
|
visual_change
|
accessibility
|
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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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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
14883
|
668
|
2
|
2026-05-10T18:46:42.934280+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438802934_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).
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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...
|
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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}]...
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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:
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
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...
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2026-05-10T18:46:44.164665+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438804164_m2.jpg...
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Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenp Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Duplication rate per date (elements only)
SELECT
date(f.timestamp) AS day,
COUNT(*) AS rows,
COUNT(DISTINCT e.id) AS uniq,
COUNT(*) - COUNT(DISTINCT e.id) AS dups,
ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct
FROM elements e
JOIN frames f ON e.frame_id = f.id
GROUP BY day
ORDER BY day DESC
LIMIT 20;
-- Same check for frames (sanity — should be 0% across the board)
SELECT
date(timestamp) AS day,
COUNT(*) - COUNT(DISTINCT id) AS dups
FROM frames
GROUP BY day
HAVING dups > 0
LIMIT 10;
SQL
day rows uniq dups dup_pct
---------- ------- ------ ------ -------
2026-05-08 779085 747320 31765 4.08
2026-05-07 623002 623002 0 0.0
2026-05-06 19825 19825 0 0.0
2026-04-28 407532 407532 0 0.0
2026-04-27 470235 470235 0 0.0
2026-04-25 79155 79155 0 0.0
2026-04-24 297071 297071 0 0.0
2026-04-23 208937 208937 0 0.0
2026-04-22 332442 332442 0 0.0
2026-04-21 702947 702947 0 0.0
2026-04-20 687142 687142 0 0.0
2026-04-17 705322 705322 0 0.0
2026-04-16 592087 592087 0 0.0
2026-04-15 886876 886876 0 0.0
2026-04-14 1068016 747320 320696 30.03
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Are frame ids reused across capture eras?
SELECT id, COUNT(*) AS copies,
GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
FROM frames
GROUP BY id
HAVING copies > 1
ORDER BY copies DESC
LIMIT 10;
-- How many frame ids overlap?
SELECT
COUNT(*) AS total_frames,
COUNT(DISTINCT id) AS unique_ids,
COUNT(*) - COUNT(DISTINCT id) AS reused_ids
FROM frames;
-- What's the frame id range pre/post the gap?
SELECT
CASE 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 frames
FROM frames
GROUP BY era;
SQL
Parse error near line 5: near "ORDER": syntax error
S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
error here ---^
total_frames unique_ids reused_ids
------------ ---------- ----------
96749 93310 3439
era min_id max_id frames
-------------- ------ ------ ------
post-reinstall 1 11475 11475
pre-reinstall 8037 95059 85274
Adm1n@DXP4800PLUS-B5F8:~$
DOCKER
Close Tab
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Close Tab
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screenpipe"
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ssh
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|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Duplication rate per date (elements only)\nSELECT\n date(f.timestamp) AS day,\n COUNT(*) AS rows,\n COUNT(DISTINCT e.id) AS uniq,\n COUNT(*) - COUNT(DISTINCT e.id) AS dups,\n ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct\nFROM elements e\nJOIN frames f ON e.frame_id = f.id\nGROUP BY day\nORDER BY day DESC\nLIMIT 20;\n\n-- Same check for frames (sanity — should be 0% across the board)\nSELECT\n date(timestamp) AS day,\n COUNT(*) - COUNT(DISTINCT id) AS dups\nFROM frames\nGROUP BY day\nHAVING dups > 0\nLIMIT 10;\nSQL\nday rows uniq dups dup_pct\n---------- ------- ------ ------ -------\n2026-05-08 779085 747320 31765 4.08 \n2026-05-07 623002 623002 0 0.0 \n2026-05-06 19825 19825 0 0.0 \n2026-04-28 407532 407532 0 0.0 \n2026-04-27 470235 470235 0 0.0 \n2026-04-25 79155 79155 0 0.0 \n2026-04-24 297071 297071 0 0.0 \n2026-04-23 208937 208937 0 0.0 \n2026-04-22 332442 332442 0 0.0 \n2026-04-21 702947 702947 0 0.0 \n2026-04-20 687142 687142 0 0.0 \n2026-04-17 705322 705322 0 0.0 \n2026-04-16 592087 592087 0 0.0 \n2026-04-15 886876 886876 0 0.0 \n2026-04-14 1068016 747320 320696 30.03 \nAdm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Are frame ids reused across capture eras?\nSELECT id, COUNT(*) AS copies,\n GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\nFROM frames\nGROUP BY id\nHAVING copies > 1\nORDER BY copies DESC\nLIMIT 10;\n\n-- How many frame ids overlap?\nSELECT\n COUNT(*) AS total_frames,\n COUNT(DISTINCT id) AS unique_ids,\n COUNT(*) - COUNT(DISTINCT id) AS reused_ids\nFROM frames;\n\n-- What's the frame id range pre/post the gap?\nSELECT\n CASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,\n MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS frames\nFROM frames\nGROUP BY era;\nSQL\nParse error near line 5: near \"ORDER\": syntax error\n S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\n error here ---^\ntotal_frames unique_ids reused_ids\n------------ ---------- ----------\n96749 93310 3439 \nera min_id max_id frames\n-------------- ------ ------ ------\npost-reinstall 1 11475 11475 \npre-reinstall 8037 95059 85274 \nAdm1n@DXP4800PLUS-B5F8:~$","depth":4,"bounds":{"left":0.27027926,"top":0.54588985,"width":0.4787234,"height":0.45411015},"on_screen":true,"value":"Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Duplication rate per date (elements only)\nSELECT\n date(f.timestamp) AS day,\n COUNT(*) AS rows,\n COUNT(DISTINCT e.id) AS uniq,\n COUNT(*) - COUNT(DISTINCT e.id) AS dups,\n ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct\nFROM elements e\nJOIN frames f ON e.frame_id = f.id\nGROUP BY day\nORDER BY day DESC\nLIMIT 20;\n\n-- Same check for frames (sanity — should be 0% across the board)\nSELECT\n date(timestamp) AS day,\n COUNT(*) - COUNT(DISTINCT id) AS dups\nFROM frames\nGROUP BY day\nHAVING dups > 0\nLIMIT 10;\nSQL\nday rows uniq dups dup_pct\n---------- ------- ------ ------ -------\n2026-05-08 779085 747320 31765 4.08 \n2026-05-07 623002 623002 0 0.0 \n2026-05-06 19825 19825 0 0.0 \n2026-04-28 407532 407532 0 0.0 \n2026-04-27 470235 470235 0 0.0 \n2026-04-25 79155 79155 0 0.0 \n2026-04-24 297071 297071 0 0.0 \n2026-04-23 208937 208937 0 0.0 \n2026-04-22 332442 332442 0 0.0 \n2026-04-21 702947 702947 0 0.0 \n2026-04-20 687142 687142 0 0.0 \n2026-04-17 705322 705322 0 0.0 \n2026-04-16 592087 592087 0 0.0 \n2026-04-15 886876 886876 0 0.0 \n2026-04-14 1068016 747320 320696 30.03 \nAdm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'\n.headers on\n.mode column\n\n-- Are frame ids reused across capture eras?\nSELECT id, COUNT(*) AS copies,\n GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\nFROM frames\nGROUP BY id\nHAVING copies > 1\nORDER BY copies DESC\nLIMIT 10;\n\n-- How many frame ids overlap?\nSELECT\n COUNT(*) AS total_frames,\n COUNT(DISTINCT id) AS unique_ids,\n COUNT(*) - COUNT(DISTINCT id) AS reused_ids\nFROM frames;\n\n-- What's the frame id range pre/post the gap?\nSELECT\n CASE WHEN date(timestamp) <= '2026-04-28' THEN 'pre-reinstall' ELSE 'post-reinstall' END AS era,\n MIN(id) AS min_id, MAX(id) AS max_id, COUNT(*) AS frames\nFROM frames\nGROUP BY era;\nSQL\nParse error near line 5: near \"ORDER\": syntax error\n S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates\n error here ---^\ntotal_frames unique_ids reused_ids\n------------ ---------- ----------\n96749 93310 3439 \nera min_id max_id frames\n-------------- ------ ------ ------\npost-reinstall 1 11475 11475 \npre-reinstall 8037 95059 85274 \nAdm1n@DXP4800PLUS-B5F8:~$","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 Tab","depth":3,"bounds":{"left":0.27227393,"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":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.32912233,"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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button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4488032,"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":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5056516,"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 Tab","depth":3,"bounds":{"left":0.50764626,"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":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.56449467,"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 Tab","depth":3,"bounds":{"left":0.56648934,"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":"AXRadioButton","text":"ssh","depth":2,"bounds":{"left":0.62333775,"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 Tab","depth":3,"bounds":{"left":0.6253325,"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":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.6821808,"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 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":"ssh","depth":1,"bounds":{"left":0.5049867,"top":1.0,"width":0.008976064,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenp Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Duplication rate per date (elements only)
SELECT
date(f.timestamp) AS day,
COUNT(*) AS rows,
COUNT(DISTINCT e.id) AS uniq,
COUNT(*) - COUNT(DISTINCT e.id) AS dups,
ROUND(100.0 * (COUNT(*) - COUNT(DISTINCT e.id)) / COUNT(*), 2) AS dup_pct
FROM elements e
JOIN frames f ON e.frame_id = f.id
GROUP BY day
ORDER BY day DESC
LIMIT 20;
-- Same check for frames (sanity — should be 0% across the board)
SELECT
date(timestamp) AS day,
COUNT(*) - COUNT(DISTINCT id) AS dups
FROM frames
GROUP BY day
HAVING dups > 0
LIMIT 10;
SQL
day rows uniq dups dup_pct
---------- ------- ------ ------ -------
2026-05-08 779085 747320 31765 4.08
2026-05-07 623002 623002 0 0.0
2026-05-06 19825 19825 0 0.0
2026-04-28 407532 407532 0 0.0
2026-04-27 470235 470235 0 0.0
2026-04-25 79155 79155 0 0.0
2026-04-24 297071 297071 0 0.0
2026-04-23 208937 208937 0 0.0
2026-04-22 332442 332442 0 0.0
2026-04-21 702947 702947 0 0.0
2026-04-20 687142 687142 0 0.0
2026-04-17 705322 705322 0 0.0
2026-04-16 592087 592087 0 0.0
2026-04-15 886876 886876 0 0.0
2026-04-14 1068016 747320 320696 30.03
Adm1n@DXP4800PLUS-B5F8:~$ sqlite3 /volume1/screenpipe/archive.db <<'SQL'
.headers on
.mode column
-- Are frame ids reused across capture eras?
SELECT id, COUNT(*) AS copies,
GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
FROM frames
GROUP BY id
HAVING copies > 1
ORDER BY copies DESC
LIMIT 10;
-- How many frame ids overlap?
SELECT
COUNT(*) AS total_frames,
COUNT(DISTINCT id) AS unique_ids,
COUNT(*) - COUNT(DISTINCT id) AS reused_ids
FROM frames;
-- What's the frame id range pre/post the gap?
SELECT
CASE 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 frames
FROM frames
GROUP BY era;
SQL
Parse error near line 5: near "ORDER": syntax error
S copies, GROUP_CONCAT(DISTINCT date(timestamp) ORDER BY timestamp) AS dates
error here ---^
total_frames unique_ids reused_ids
------------ ---------- ----------
96749 93310 3439
era min_id max_id frames
-------------- ------ ------ ------
post-reinstall 1 11475 11475
pre-reinstall 8037 95059 85274
Adm1n@DXP4800PLUS-B5F8:~$
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
ssh...
|
NULL
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NULL
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NULL
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NULL
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14888
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668
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4
|
2026-05-10T18:46:59.262651+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438819262_m2.jpg...
|
iTerm2
|
NULL
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True
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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ClaudecalVIewWindowHelpDaily - Platform - in 11 h ClaudecalVIewWindowHelpDaily - Platform - in 11 h 59 m•, Chatl°= Cowork+ New session4 Routines& Customizev MoгeRecents)<> Code••• 0¢→Pull requests • screenpipe/screenpipe • GitHubDNS / Nameservers | Hostinger@ Nginx Proxy Manages@ Screenpipe — Archive(*SQLite Web: archive.db( SQLite Web: db.saliteGitHub - screenpipe/screenpipe: Run agents that worka) DypaR0opi us-R55gA AFFINE - All In One KnowledaeOSAll docs • AFFiNE= Payments LoggeM Inbox (1) - [EMAIL] - Gmaill(*) Location LoggerFinance Hub# Select: transaction imnorts - db - Adminelowtrnhhoinhothtm5 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 Now Tal• nas.lakylak.xyz/desktop/?os=ugospro#/100% L2. Sun 10 May 21:46:59Д д 116к0гE Control PanelConnection & Access|c User Management• File Service! DevicelConnection- Domain/LDAP|" Terminal|Hardware & Powerà Time & Lanquage7 Network( SecurityEc Indexing ServicelSorvicel• AboutTask ManagerdMusiclelnetEnablePortAdvanced settingsSSH• EnablePortiShut down automaticallvi1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupDownloading update...ik tukas. Pro...
|
NULL
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-8615765342435385241
|
NULL
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visual_change
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ocr
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NULL
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ClaudecalVIewWindowHelpDaily - Platform - in 11 h ClaudecalVIewWindowHelpDaily - Platform - in 11 h 59 m•, Chatl°= Cowork+ New session4 Routines& Customizev MoгeRecents)<> Code••• 0¢→Pull requests • screenpipe/screenpipe • GitHubDNS / Nameservers | Hostinger@ Nginx Proxy Manages@ Screenpipe — Archive(*SQLite Web: archive.db( SQLite Web: db.saliteGitHub - screenpipe/screenpipe: Run agents that worka) DypaR0opi us-R55gA AFFINE - All In One KnowledaeOSAll docs • AFFiNE= Payments LoggeM Inbox (1) - [EMAIL] - Gmaill(*) Location LoggerFinance Hub# Select: transaction imnorts - db - Adminelowtrnhhoinhothtm5 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 Now Tal• nas.lakylak.xyz/desktop/?os=ugospro#/100% L2. Sun 10 May 21:46:59Д д 116к0гE Control PanelConnection & Access|c User Management• File Service! DevicelConnection- Domain/LDAP|" Terminal|Hardware & Powerà Time & Lanquage7 Network( SecurityEc Indexing ServicelSorvicel• AboutTask ManagerdMusiclelnetEnablePortAdvanced settingsSSH• EnablePortiShut down automaticallvi1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupDownloading update...ik tukas. Pro...
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14884
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NULL
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NULL
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NULL
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14889
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668
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5
|
2026-05-10T18:47:02.296632+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438822296_m2.jpg...
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iTerm2
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NULL
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True
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Downloading update..ik tukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAcceptedits + ~Daily - Platform - in 11 h 58 m••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#100% L2. Sun 10 May 21:47:02Д д 116к0гConnection & 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 automaticallvI1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupSonnet 4.6 • Medium...
|
NULL
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3005536983028202056
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NULL
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visual_change
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ocr
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NULL
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Downloading update..ik tukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAcceptedits + ~Daily - Platform - in 11 h 58 m••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#100% L2. Sun 10 May 21:47:02Д д 116к0гConnection & 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 automaticallvI1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupSonnet 4.6 • Medium...
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NULL
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NULL
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NULL
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NULL
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14891
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668
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6
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2026-05-10T18:47:32.722544+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438852722_m2.jpg...
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iTerm2
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NULL
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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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NULL
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NULL
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -Daily - Platform - in 11 h 58 m100% L2. Sun 10 May 21:47:32••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#Connection & 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 & BackupSonnet 4.6 • Medium...
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -Daily - Platform - in 11 h 58 m100% L2. Sun 10 May 21:47:32••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#Connection & 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 & BackupSonnet 4.6 • Medium...
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438883167_m2.jpg...
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -1Daily - Platform - in 11h 57 m100% L2. Sun 10 May 21:48:02••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#Connection & 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 & BackupSonnet 4.6 • Medium...
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -1Daily - Platform - in 11h 57 m100% L2. Sun 10 May 21:48:02••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#Connection & 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 & BackupSonnet 4.6 • Medium...
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438913622_m2.jpg...
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -1Daily - Platform - in 11h 57 m••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#100% L2. Sun 10 May 21:48:33О д І 1к.канConnection & 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 automaticallvI1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupSonnet 4.6 • Medium...
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idle
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -1Daily - Platform - in 11h 57 m••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#100% L2. Sun 10 May 21:48:33О д І 1к.канConnection & 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 automaticallvI1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupSonnet 4.6 • Medium...
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14893
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/Users/lukas/.screenpipe/data/data/2026-05-10/1778 /Users/lukas/.screenpipe/data/data/2026-05-10/1778438927130_m2.jpg...
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iTerm2
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -1Daily - Platform - in 11h 57 m••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#100% L2. Sun 10 May 21:48:46Д д і зкConnection & 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 automaticallvI1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupSonnet 4.6 • Medium...
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click
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ocr
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ClaudecalVIeWWindowmelpQ, Chat= Cowork">co ClaudecalVIeWWindowmelpQ, Chat= Cowork">code+ New session4 Routines- cuscomizev MoгeRecents)*= What's up next, Lukas?OverviewModels10757508.9k8 PM300Active daysSonnet 4.6Relaunch to updatelK Lukas. Proalocall• Select folder…Descrihe a tack or ask a quectionAccept edits + -1Daily - Platform - in 11h 57 m••• 0¢→Pull requests • screenpipe/screenpipe • GitHub# DNS / Nameservers | Hostinger@ 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 Tal• nas.lakylak.xyz/desktop/?os=ugospro#100% L2. Sun 10 May 21:48:46Д д і зкConnection & 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 automaticallvI1h later2026-05-10 22:08 will automaticaliy shut downAdvanced settingsFunction descriptionApplyDownloadcDLNAComiccSvnc & BackupSonnet 4.6 • Medium...
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