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All docs · AFFiNE
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All docs · AFFiNE
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴ SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiiuse humtostia anphconerfiuto.dist,plPHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil VasilevCo Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:15:09Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday ~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴ SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiiuse humtostia anphconerfiuto.dist,plPHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil VasilevCo Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:15:09Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday ~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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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...
|
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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":"10 May","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"}]...
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6090901258047989908
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5048499695399846994
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click
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accessibility
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NULL
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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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...
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20816
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NULL
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NULL
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NULL
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20818
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NULL
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0
|
2026-05-11T16:19:55.242720+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516395242_m2.jpg...
|
Claude
|
Claude
|
True
|
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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10 May
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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:...
|
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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":"10 May","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"}]...
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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:...
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2026-05-11T16:20:25.615137+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516425615_m1.jpg...
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Claude
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Claude
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True
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monitor_1
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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...
|
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Is there ability…","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":"SMB mount access inconsistency between Finder and iTerm","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 SMB mount access inconsistency between Finder and iTerm","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":"💬 What is the best switch I can…","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 💬 What is the best switch I can…","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":"Permission denied on screenpipe volume","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 Permission denied on screenpipe volume","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync database attachment error","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Screenpipe sync database attachment error","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":"Last swimming outing with Dani","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 Last swimming outing with Dani","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":"Definition of incarcerated","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 Definition of incarcerated","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"Lukas Pro","depth":15,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Get apps and extensions","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync script failing after recent migrations, rename chat","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync script failing after recent migrations","depth":21,"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"More options for Screenpipe sync script failing after recent migrations","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open sidebar","depth":21,"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,"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":"10 May","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"}]...
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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
10 May
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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
20820
|
905
|
0
|
2026-05-11T16:20:25.625881+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516425625_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
10 May
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
Copy...
|
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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":"10 May","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}]...
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Screenpipe sync script failing after recent migrations, rename chat
Screenpipe sync script failing after recent migrations
More options for 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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10 May
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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...
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Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 4 Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 45%
soundcore AeroClip
LakyLak bose qc35 II
M720 Triathlon
Magic Keyboard
Magic Keyboard
Soundcore Life Dot 2 NC
Bluetooth Settings…...
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Bluetooth
Devices
Lukas’s Magic Mouse, 4 Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 45%
soundcore AeroClip
LakyLak bose qc35 II
M720 Triathlon
Magic Keyboard
Magic Keyboard
Soundcore Life Dot 2 NC
Bluetooth Settings…
ClaudeWindow0, Chat"- Cowork‹› Code+ New chatã Projects80 Artifactse CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notion t® How much have I spent for groc...April 2026 spending by categoryCode dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatiolViewing retention policy in screenpipeclean snot x video recoraing terminatiorHubSpot rate limit handling with executeUntitledg Screen pipe. Is there ability..SMB mount access inconsistency betweWhat is the best switch I can..rermission deniea on screenpipe volumeScreenpipe sync database attachment eLast swimming outing with DanDefinition of incarceratedScreenpipe sync script failing after recent migrationsWhat is that tast? It seems like the key tor indexation is much slower!Weighed composite key pertormance trade-offs and proposed synthetic integer solution ›Your intuition is right, and I should have flagged this earlier rather than handwaving past it.What's actually slowerSQLite has a special case: a column declared exactly INTEGER PRIMARY KEY becomes an aliasfor the table's internal ROWID. The table itself is a B-tree keyed by that integer — no separateindex, lookups are one traversalThe moment you use anything else as PRIMARY KEY (composite, TEXT, even INT instead ofINTEGER ), SQLite falls back to a hidden auto rowia plus a separate b-tree for your declared PK.Now every lookup is two traversals:1. Search the PK index → find the hidden rowid2. Look up the rowid in the tableSo PRIMARY KEY (machine_id, id) with machine_id as a 36-char UUID is genuinely slowerDer lookup - both from the extra indirection and from bvte-bv-bvte text comparison vsinteger comparison. For a 10M-row table, real numbers are roughly:SchemeINTEGER PRIMARY KEYPRIMARY KEY (TEXT, INT)Per-lookup cost~1us~3-5usndey sizesmallest~sx argerFor ad-hoc human queries (your workload) the difference is invisible. For batched INSERT ORIGNORE during nightly sync - checking millions of conflicts against the unique index — itdoes add up.Better design: synthetic NAS-side rowidKeep INTEGER PRIMARY KEY AUTOINCREMENT as the actual PK (fastest), a→**Write a message…Opus 4.7 Adaptive vlK Lukas. ProClaude is Al and can make mistakes. Please double-check responses.•0 l O0100% 58 • Mon 11 May 19:24:56New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8* New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tab→ C• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxvideo_chunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestamp8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app_name window_name focused browser_url NULLSlack2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users/NULLdata/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448÷00:00 /Users/Slacklukas/.screenpipe/datalidata/2026-04-14/17762026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?aleam92229ezoneananlearellNULUlukas/.screenpipe/data/datal2026-04-14/177612026-04-14706:23:56.387802÷00:00 /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonito...
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Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 4 Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 45%
soundcore AeroClip
LakyLak bose qc35 II
M720 Triathlon
Magic Keyboard
Magic Keyboard
Soundcore Life Dot 2 NC
Bluetooth Settings…...
|
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Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 4 Bluetooth
Bluetooth
Devices
Lukas’s Magic Mouse, 45%
soundcore AeroClip
LakyLak bose qc35 II
M720 Triathlon
Magic Keyboard
Magic Keyboard
Soundcore Life Dot 2 NC
Bluetooth Settings…
SlackFileEditViewGoHistoryWindowHelpAPP (|DOCKER181DEV (docker)₴2APP (-zsh)-zsh+ +ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiandcontributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at [URL_WITH_CREDENTIALS] bose qc35 llM720 TriathlonMagic KeyboardMagic KeyboardSoundcore Life Dot 2 NCBluetooth Settings...CircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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M720 Triathlon
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Soundcore Life Dot 2 NC
Bluetooth Settings…...
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Claude0, Chat= Cowork‹/> Code+ New chatã Projects80 Artifactse CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notion t® How much have I spent for groc...April 2026 spending by categoryCode dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatiolViewing retention policy in screenpipeClean snot x video recoraing terminatiorHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..rermission deniea on screenpipe volumeScreenpipe sync database attachment eLast swimming outing with DanDefinition of incarceratedScreenpipe sync script failing after recent migrationsWhat is that tast? It seems like the key tor indexation is much slower!Weighed composite key pertormance trade-offs and proposed synthetic integer solution ›Your intuition is right, and I should have flagged this earlier rather than handwaving past it.What's actually slowerSQLite has a special case: a column declared exactly INTEGER PRIMARY KEY becomes an aliasfor the table's internal ROWID. The table itself is a B-tree keyed by that integer — no separateindex, lookups are one traversalThe moment you use anything else as PRIMARY KEY (composite, TEXT, even INT instead ofINTEGER ), SQLite falls back to a hidden auto rowia plus a separate b-tree for your declared PK.Now every lookup is two traversals:1. Search the PK index → find the hidden rowid2. Look up the rowid in the tableSo PRIMARY KEY (machine_id, id) with machine_id as a 36-char UUID is genuinely slowerper lookup - both from the extra indirection and from byte-by-byte text comparison vsinteger comparison. For a 10M-row table, real numbers are roughly:SchemePer-lookup costndey sizeINTEGER PRIMARY KEYPRIMARY KEY (TEXT, INT)~1us~3-5ussmallest~sx argerFor ad-hoc human queries (your workload) the difference is invisible. For batched INSERT ORIGNORE during nightly sync - checking millions of conflicts against the unique index — itdoes add up.Better design: synthetic NAS-side rowidKeep INTEGER PRIMARY KEY AUTOINCREMENT as the actual PK (fastest), and add UNIQUE(machine id, id) as a separate constraint. INSERT OR IGNORE still works correctly becauseuniqueness conflicts on either PK or any UNIQUE index trigger the IGNORE.CREATE TABLE frames (Write a message…Opus 4.7 Adaptiveik tukas. ProClaude is Al and can make mistakes. Please double-check responses.•y0 l O0100% 5?• Mon 11 May 19:25:29New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8* New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tab• db.scre.npipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsocr_textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQueryExportvideo_chunk_id offset_index timestamp8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/datadata/2026-04-14/ NULLapp_name window_name focused browser_urlSlackNULL2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users)NULLdata/datal2026-04-14/17762026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448÷00:00 /Users/Slacklukas/.screenpipe/dataldata/2026-04-14/17762026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULL?valeam92229ezonnananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitoooascund...
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2026-05-11T16:25:52.144215+00:00
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SlackFileEditViewGoHistoryWindowHelpAPP (|DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ +ScrmService->syncOpportunity('374720564');ScrmService-›matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskiandcontributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at [URL_WITH_CREDENTIALS] bose qc35 llM720 TriathlonMagic KeyboardMagic KeyboardSoundcore Life Dot 2 NCBluetooth Settings...CircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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2026-05-11T16:30:16.428551+00:00
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April 2026 spending by category
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Clean shot x video recording termination issue
SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER181DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLater..•MoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...^ Direct messagesP. Aneliya Angelova®. Galya Dimitrova IPetko Kashinski&. Stefka StoyanovaVasil Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan TanevCo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% C8• Mon 11 May 19:30:16Describe what you are looking for# releases8 22• MessagesC FilesBookmarks+9353b609 - JYToday~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app | Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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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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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":"10 May","depth":22,"on_screen":false,"role_description":"text"}]...
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You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May...
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2026-05-11T16:30:48.294850+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778517048294_m1.jpg...
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Claude
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Claude
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monitor_1
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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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10 May
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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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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
10 May
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win....
|
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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":"10 May","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 ... 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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. 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":"10 May","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. 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"}]...
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-2267672931895682333
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7363349629560931346
|
idle
|
accessibility
|
NULL
|
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Claude is responding
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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
10 May
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win....
|
NULL
|
NULL
|
NULL
|
NULL
|
|
20900
|
909
|
0
|
2026-05-11T16:30:49.469086+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778517049469_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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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
Copy
Give positive feedback
Give negative feedback
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"bounds":{"left":0.0023271276,"top":0.025538707,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"bounds":{"left":0.0023271276,"top":0.026336791,"width":0.030917553,"height":0.013567438},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.0023271276,"top":0.027134877,"width":0.0026595744,"height":0.012769354}},{"char_start":1,"char_count":14,"bounds":{"left":0.004986702,"top":0.027134877,"width":0.02825798,"height":0.012769354}}],"role_description":"text"},{"role":"AXStaticText","text":"Click to 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(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":"10 May","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":"10 May","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. 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"}]...
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-6768406410229903958
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7363350179316728850
|
idle
|
accessibility
|
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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10 May
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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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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
10 May
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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...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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LakyLak
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added
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
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added
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4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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commented
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3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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@LakyLak
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778517331241_m2.jpg...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
LakyLak
added
2
commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
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commented...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
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JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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sonarqubecloud Bot commented 3 hours ago
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20725 add HS rate limit handling on activities rematching #12066 Edit title
JY-20725 add HS rate limit handling on activities rematching
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12066
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JY-20725 add HS rate limit handling on activities rematching #12066 LakyLak wants to merge 4 commits into master from JY-20725-handle-HS-search-rate-limit Copy head branch name to clipboard
JY-20725 add HS rate limit handling on activities rematching
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20725 add HS rate limit handling on activities rematching #12066 Edit title
JY-20725 add HS rate limit handling on activities rematching
#
12066
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JY-20725-handle-HS-search-rate-limit
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Lines changed: 757 additions & 249 deletions
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JY-20725 add HS rate limit handling on activities rematching #12066 LakyLak wants to merge 4 commits into master from JY-20725-handle-HS-search-rate-limit Copy head branch name to clipboard
JY-20725 add HS rate limit handling on activities rematching
JY-20725 add HS rate limit handling on activities rematching
#
12066
LakyLak
LakyLak
wants to merge 4 commits into
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master
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JY-20725-handle-HS-search-rate-limit...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
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@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
LakyLak
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react with eyes
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claude Bot commented 3 hours ago •
claude
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@LakyLak
@LakyLak
's task in 1m 42s
——
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches
executeRequest()
: the cached circuit-breaker path (early
throw
when Redis key exists) and the
SET NX
path when a live 429 is received
These are the most impactful paths to cover to get over the 70% gate.
Minor observations
Minor observations
5. Test constants duplicated from production code
HandleHubspotRateLimitTest.php
re-declares
MAX_RETRY_DELAY = 600
,
MIN_RETRY_DELAY = 1
, and
JITTER_SECONDS = 5
(lines 20–22). If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.
6. Double-clamping in
RateLimitException
The constructor default
$retryAfter = 1
(line 13) and
getRetryAfter()
calling
max($this->retryAfter, 1)
(line 21) both guard against zero/negative values. The
max()
in the getter is unreachable given the current signature default. Not a bug, but a minor inconsistency.
7.
RateLimitException
in
MatchActivityCrmData::failed()
The
failed()
hook (line 172) checks
$exception instanceof RateLimitException
, but the middleware always calls...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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added
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commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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@LakyLak
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Author
LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
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claude Bot commented 3 hours ago •
claude
claude
Bot
commented
3 hours ago
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edited
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@LakyLak
@LakyLak
's task in 1m 42s
——
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches
executeRequest()
: the cached circuit-breaker path (early
throw
when Redis key exists) and the
SET NX
path when a live 429 is received
These are the most impactful paths to cover to get over the 70% gate.
Minor observations
Minor observations
5. Test constants duplicated from production code
HandleHubspotRateLimitTest.php
re-declares
MAX_RETRY_DELAY = 600
,
MIN_RETRY_DELAY = 1
, and
JITTER_SECONDS = 5
(lines 20–22). If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.
6. Double-clamping in
RateLimitException
The constructor default
$retryAfter = 1
(line 13) and
getRetryAfter()
calling
max($this->retryAfter, 1)
(line 21) both guard against zero/negative values. The
max()
in the getter is unreachable given the current signature default. Not a bug, but a minor inconsistency.
7.
RateLimitException
in
MatchActivityCrmData::failed()
The
failed()
hook (line 172) checks
$exception instanceof RateLimitException
, but the middleware always calls...
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2026-05-11T16:40:12.416711+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778517612416_m2.jpg...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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github.com/jiminny/app/pull/12066
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
Show options
LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
LakyLak
added
2
commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
Show options
sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
Add or remove reactions
@LakyLak
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Author
LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
@claude
@claude
Add or remove reactions
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claude Bot commented 3 hours ago •
claude
claude
Bot
commented
3 hours ago
3 hours ago
•
edited
edited
Claude finished
@LakyLak
@LakyLak
's task in 1m 42s
——
View job
View job
Code Review
Code Review
Completed task
Gathering context
Completed task
Reading changed files
Completed task
Analyzing code quality
Completed task
Posting review feedback
Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches
executeRequest()
: the cached circuit-breaker path (early
throw
when Redis key exists) and the
SET NX
path when a live 429 is received
These are the most impactful paths to cover to get over the 70% gate.
Minor observations
Minor observations
5. Test constants duplicated from production code
HandleHubspotRateLimitTest.php
re-declares
MAX_RETRY_DELAY = 600
,
MIN_RETRY_DELAY = 1
, and
JITTER_SECONDS = 5
(lines 20–22). If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.
6. Double-clamping in
RateLimitException
The constructor default
$retryAfter = 1
(line 13) and
getRetryAfter()
calling
max($this->retryAfter, 1)
(line 21) both guard against zero/negative values. The
max()
in the getter is unreachable given the current signature default. Not a bug, but a minor inconsistency.
7.
RateLimitException
in
MatchActivityCrmData::failed()
The
failed()
hook (line 172) checks
$exception instanceof RateLimitException
, but the middleware always calls
$job->release()
without re-throwing, so
failed()
would only fire for rate limit exceptions if the
retryUntil()
window expires with a pending rate-limit release, or if somehow the middleware is not applied. The check is defensive and harmless, but worth noting in a comment since the path is non-obvious.
Add or remove reactions
@LakyLak
JY-20725
JY-20725
add more tests
add more tests
12 / 12 checks OK
02d5214
02d5214
@sonarqubecloud
Show options
sonarqubecloud Bot commented 1 hour ago
sonarqubecloud
sonarqubecloud
Bot
commented
1 hour ago
1 hour ago
Quality Gate Passed Quality Gate passed
Quality Gate Passed
Quality Gate passed...
|
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A 429 received via config A will not suppress requests from config B even though they share the same quota.","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"// If config IDs == portal IDs, rename to make intent clear:","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"return","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"sprintf","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hubspot:ratelimit:config:%d","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"$","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"this","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"->","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"config","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"->","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"getId","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"());","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy","depth":17,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"3.","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"isHubspotRateLimit()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"parseRetryAfter()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"are","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"public","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"but not in the interface","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"These two methods (","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Client.php:123","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"137","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") are an internal concern of the rate-limit handling, but they are","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"public","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". Nothing outside","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Client","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"needs to call them (the pagination service calls","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"isUnauthorizedException","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not these). Making them","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"private","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or at least","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"protected","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Missing test coverage for","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"executeRequest()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"isHubspotRateLimit()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"parseRetryAfter()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"parseRetryAfter()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": the","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Retry-After","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"header parsing, fallback to message keyword matching, and the default-10-second case","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"isHubspotRateLimit()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": each of the exception type branches","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"executeRequest()","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": the cached circuit-breaker path (early","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"throw","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"when Redis key exists) and the","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SET NX","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"path when a live 429 is received","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"These are the most impactful paths to cover to get over the 70% gate.","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Minor observations","depth":16,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Minor observations","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"5. 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If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"6. 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The check is defensive and harmless, but worth noting in a comment since the path is non-obvious.","depth":17,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add or remove reactions","depth":15,"on_screen":false,"help_text":"","role_description":"summary","subrole":"AXSummary","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"@LakyLak","depth":12,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"JY-20725","depth":14,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"JY-20725","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"add more tests","depth":14,"on_screen":false,"help_text":"JY-20725 add more tests","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"add more tests","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"12 / 12 checks OK","depth":13,"on_screen":false,"help_text":"","role_description":"summary","subrole":"AXSummary","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"02d5214","depth":14,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"02d5214","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"@sonarqubecloud","depth":13,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show options","depth":14,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"sonarqubecloud Bot commented 1 hour ago","depth":13,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXLink","text":"sonarqubecloud","depth":15,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"sonarqubecloud","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Bot","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"commented","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"1 hour ago","depth":14,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"1 hour ago","depth":16,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Quality Gate Passed Quality Gate passed","depth":16,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXLink","text":"Quality Gate Passed","depth":17,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Quality Gate passed","depth":18,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
LakyLak
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3 hours ago
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claude Bot commented 3 hours ago •
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@LakyLak
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches
executeRequest()
: the cached circuit-breaker path (early
throw
when Redis key exists) and the
SET NX
path when a live 429 is received
These are the most impactful paths to cover to get over the 70% gate.
Minor observations
Minor observations
5. Test constants duplicated from production code
HandleHubspotRateLimitTest.php
re-declares
MAX_RETRY_DELAY = 600
,
MIN_RETRY_DELAY = 1
, and
JITTER_SECONDS = 5
(lines 20–22). If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.
6. Double-clamping in
RateLimitException
The constructor default
$retryAfter = 1
(line 13) and
getRetryAfter()
calling
max($this->retryAfter, 1)
(line 21) both guard against zero/negative values. The
max()
in the getter is unreachable given the current signature default. Not a bug, but a minor inconsistency.
7.
RateLimitException
in
MatchActivityCrmData::failed()
The
failed()
hook (line 172) checks
$exception instanceof RateLimitException
, but the middleware always calls
$job->release()
without re-throwing, so
failed()
would only fire for rate limit exceptions if the
retryUntil()
window expires with a pending rate-limit release, or if somehow the middleware is not applied. The check is defensive and harmless, but worth noting in a comment since the path is non-obvious.
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@LakyLak
JY-20725
JY-20725
add more tests
add more tests
12 / 12 checks OK
02d5214
02d5214
@sonarqubecloud
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sonarqubecloud Bot commented 1 hour ago
sonarqubecloud
sonarqubecloud
Bot
commented
1 hour ago
1 hour ago
Quality Gate Passed Quality Gate passed
Quality Gate Passed
Quality Gate passed...
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2026-05-11T16:40:41.913177+00:00
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
LakyLak
added
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commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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@LakyLak
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Author
LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
@claude
@claude
Add or remove reactions
react with eyes
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1
@claude
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
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add tests
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
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[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
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JY-20725
JY-20725
add tests
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See analysis details on SonarQube Cloud
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@LakyLak
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
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JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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sonarqubecloud Bot commented 3 hours ago
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commented
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Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
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's task in 1m 42s
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches...
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2026-05-11T16:45:15.126576+00:00
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20725 add HS rate limit handling on activities rematching #12066 Edit title
JY-20725 add HS rate limit handling on activities rematching
#
12066
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from
JY-20725-handle-HS-search-rate-limit
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JY-20725 add HS rate limit handling on activities rematching #12066 LakyLak wants to merge 4 commits into master from JY-20725-handle-HS-search-rate-limit Copy head branch name to clipboard
JY-20725 add HS rate limit handling on activities rematching...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20725 add HS rate limit handling on activities rematching #12066 Edit title
JY-20725 add HS rate limit handling on activities rematching
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12066
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JY-20725 add HS rate limit handling on activities rematching #12066 LakyLak wants to merge 4 commits into master from JY-20725-handle-HS-search-rate-limit Copy head branch name to clipboard
JY-20725 add HS rate limit handling on activities rematching...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
LakyLak
added
2
commits
4 hours ago
4 hours ago
@LakyLak...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
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JY-20725
JY-20725
add tests
add tests
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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Quality Gate Failed Quality Gate failed
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Quality Gate failed
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34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
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LakyLak commented 3 hours ago
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@LakyLak
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's task in 1m 42s
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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Author
LakyLak commented 3 hours ago
LakyLak
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commented
3 hours ago
3 hours ago
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claude Bot commented 3 hours ago •
claude
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Bot
commented
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@LakyLak
@LakyLak
's task in 1m 42s
——
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls...
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2026-05-11T16:45:47.489485+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778517947489_m2.jpg...
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Firefox
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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github.com/jiminny/app/pull/12066
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New Tab
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
Show options
LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
LakyLak
added
2
commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
Show options
sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
Add or remove reactions
@LakyLak
Show options
Author
LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
@claude
@claude
Add or remove reactions
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1
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claude Bot commented 3 hours ago •
claude
claude
Bot
commented
3 hours ago
3 hours ago
•
edited
edited
Claude finished
@LakyLak
@LakyLak
's task in 1m 42s
——
View job
View job
Code Review
Code Review
Completed task
Gathering context
Completed task
Reading changed files
Completed task
Analyzing code quality
Completed task
Posting review feedback
Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the...
|
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
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JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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commented
3 hours ago
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Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
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@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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commented
3 hours ago
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Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
LakyLak
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claude Bot commented 3 hours ago •
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@LakyLak
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches
executeRequest()
: the cached circuit-breaker path (early
throw
when Redis key exists) and the
SET NX
path when a live 429 is received
These are the most impactful paths to cover to get over the 70% gate.
Minor observations
Minor observations
5. Test constants duplicated from production code
HandleHubspotRateLimitTest.php
re-declares
MAX_RETRY_DELAY = 600
,
MIN_RETRY_DELAY = 1
, and
JITTER_SECONDS = 5
(lines 20–22). If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.
6. Double-clamping in
RateLimitException
The constructor default
$retryAfter = 1
(line 13) and
getRetryAfter()
calling
max($this->retryAfter, 1)
(line 21) both guard against zero/negative values. The
max()
in the getter is unreachable given the current signature default. Not a bug, but a minor inconsistency.
7.
RateLimitException
in
MatchActivityCrmData::failed()
The
failed()
hook (line 172) checks
$exception instanceof RateLimitException
, but the middleware always calls
$job->release()
without re-throwing, so
failed()
would only fire for rate limit exceptions if the
retryUntil()
window expires with a pending rate-limit release, or if somehow the middleware is not applied. The check is defensive and harmless, but worth noting in a comment since the path is non-obvious.
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@LakyLak
JY-20725
JY-20725
add more tests
add more tests
12 / 12 checks OK
02d5214
02d5214...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
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JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
LakyLak
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claude Bot commented 3 hours ago •
claude
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@LakyLak
@LakyLak
's task in 1m 42s
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Overall this is a well-thought-out implementation. The circuit-breaker pattern using Redis NX, the jitter for thundering-herd prevention, and the log-sampling strategy are all solid. A few issues worth addressing before merge:
Issues
Issues
1. Batch API calls bypass rate-limit handling
batchReadObjects()
in
Client.php
(lines 296–319) calls the HubSpot batch APIs directly without going through
executeRequest()
. If the batch endpoints return 429s, those exceptions will not set the Redis circuit-breaker and will not be wrapped in
RateLimitException
, so the middleware won't catch them.
// batchReadObjects — no executeRequest() wrapping
$
response
=
$
batchConfig
[
'
api
'
]->
read
(
$
batchReadRequest
);
Copy
Given the search endpoints can also hit rate limits during pagination-heavy rematching, the batch calls could too. Consider wrapping the batch call similarly, or at least catching 429 from batch APIs and converting them to
RateLimitException
.
Fix this →
Fix this →
2. Circuit-breaker key is scoped to CRM config ID, not HubSpot portal
getRateLimitCacheKey()
(
Client.php:120
) returns
hubspot:ratelimit:portal:{configId}
, but
$this->config->getId()
is the CRM
configuration
record ID, not the HubSpot portal/account ID. If multiple CRM configuration records share the same HubSpot portal (e.g. re-connections), each will have its own independent circuit-breaker. A 429 received via config A will not suppress requests from config B even though they share the same quota.
If configs are always 1:1 with portals this is fine, but it's worth confirming or renaming the key to avoid misleading future readers:
// If config IDs == portal IDs, rename to make intent clear:
return
sprintf
(
'
hubspot:ratelimit:config:%d
'
,
$
this
->
config
->
getId
());
Copy
3.
isHubspotRateLimit()
and
parseRetryAfter()
are
public
but not in the interface
These two methods (
Client.php:123
,
137
) are an internal concern of the rate-limit handling, but they are
public
. Nothing outside
Client
needs to call them (the pagination service calls
isUnauthorizedException
, not these). Making them
private
or at least
protected
avoids callers depending on them in tests or subclasses. The only reason to keep them public would be if they're tested in isolation — but they currently have no direct tests at all.
4. Missing test coverage for
executeRequest()
,
isHubspotRateLimit()
,
parseRetryAfter()
SonarCloud is already flagging 34.4% coverage. The three methods above — which contain the core logic of this PR — have zero test coverage. In particular:
parseRetryAfter()
: the
Retry-After
header parsing, fallback to message keyword matching, and the default-10-second case
isHubspotRateLimit()
: each of the exception type branches
executeRequest()
: the cached circuit-breaker path (early
throw
when Redis key exists) and the
SET NX
path when a live 429 is received
These are the most impactful paths to cover to get over the 70% gate.
Minor observations
Minor observations
5. Test constants duplicated from production code
HandleHubspotRateLimitTest.php
re-declares
MAX_RETRY_DELAY = 600
,
MIN_RETRY_DELAY = 1
, and
JITTER_SECONDS = 5
(lines 20–22). If these ever change in the middleware, the tests will silently use the old values and could still pass while testing the wrong bounds. Consider testing relative to the actual delay value returned rather than hard-coding the expected range.
6. Double-clamping in
RateLimitException
The constructor default
$retryAfter = 1
(line 13) and
getRetryAfter()
calling
max($this->retryAfter, 1)
(line 21) both guard against zero/negative values. The
max()
in the getter is unreachable given the current signature default. Not a bug, but a minor inconsistency.
7.
RateLimitException
in
MatchActivityCrmData::failed()
The
failed()
hook (line 172) checks
$exception instanceof RateLimitException
, but the middleware always calls
$job->release()
without re-throwing, so
failed()
would only fire for rate limit exceptions if the
retryUntil()
window expires with a pending rate-limit release, or if somehow the middleware is not applied. The check is defensive and harmless, but worth noting in a comment since the path is non-obvious.
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JY-20725
JY-20725
add more tests
add more tests
12 / 12 checks OK
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
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added
2
commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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Author
LakyLak commented 3 hours ago
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3 hours ago
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claude Bot commented 3 hours ago •
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
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@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
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commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20725 add HS rate limit handling on activities rematching #12066 Edit title
JY-20725 add HS rate limit handling on activities rematching
#
12066
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JY-20725-handle-HS-search-rate-limit...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app
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JY-20725 add HS rate limit handling on activities rematching #12066 Edit title
JY-20725 add HS rate limit handling on activities rematching
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12066
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
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commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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LakyLak commented 3 hours ago
LakyLak
LakyLak
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3 hours ago
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claude Bot commented 3 hours ago •
claude
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
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commented
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JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
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JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
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sonarqubecloud Bot commented 3 hours ago
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Quality Gate Failed Quality Gate failed
Quality Gate Failed
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34.4% Coverage on New Code
34.4% Coverage on New Code
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See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
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added
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4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
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@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
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Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
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34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
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Jy 20820 es reindex stream model h New Tab
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Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
Jy 20820 es reindex stream model hydration by Vasil-Jiminny · Pull Request #12059 · jiminny/app
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
[JY-20725] [HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts - Jira
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST [URL_WITH_CREDENTIALS]
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LakyLak commented 4 hours ago
LakyLak
LakyLak
commented
4 hours ago
4 hours ago
JIRA: JY-20725
JIRA:
JY-20725
JY-20725
Changes:
Changes:
Adds
HandleHubspotRateLimit
middleware (release jobs with delay)
Adds
executeRequest
wrapper in Hubspot Client. It handles 429 errors and throws
RateLimitException
Add or remove reactions
LakyLak
LakyLak
added
2
commits
4 hours ago
4 hours ago
@LakyLak
JY-20725
JY-20725
add HS rate limit handling on activities rematching
add HS rate limit handling on activities rematching
8 / 10 checks OK
44d5678
44d5678
@LakyLak
JY-20725
JY-20725
add tests
add tests
11 / 12 checks OK
cbed2c9
cbed2c9
@sonarqubecloud
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sonarqubecloud Bot commented 3 hours ago
sonarqubecloud
sonarqubecloud
Bot
commented
3 hours ago
3 hours ago
Quality Gate Failed Quality Gate failed
Quality Gate Failed
Quality Gate failed
Failed conditions
34.4% Coverage on New Code
34.4% Coverage on New Code
(required ≥ 70%)
See analysis details on SonarQube Cloud
See analysis details on SonarQube Cloud
Add or remove reactions
@LakyLak
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Author
LakyLak commented 3 hours ago
LakyLak
LakyLak
commented
3 hours ago
3 hours ago
@claude
@claude
Add or remove reactions
react with eyes
👀
1
@claude
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claude Bot commented 3 hours ago •
claude
claude
Bot
commented
3 hours ago
3 hours ago
•
edited
edited
Claude finished
@LakyLak...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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github.com/jiminny/app/pull/12066
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴ SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova% Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil VasilevCo Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:32:07Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases+..•...
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SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴ SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER₴81DEV (docker)₴2APP (-zsh)-zsh+ScrmService->syncOpportunity('374720564');ScrmService->matchByName('Robot');end diffFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistentdebugging tools in any containerimage →Learn moreat [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20725-handle-HS-search-rate-lirdocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.plPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminskicontributors.PHP runtime: 8.3.30Running analysis on 7 cores with 10 files per process.Parallel runner is an experimental feature and may be unstable, use it at your own risk.Loadedconfig default from".php-cs-fixer.dist.php".5666/5666 [100%Fixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory usedWhat's next:Try Docker Debug for seamless, persistent debugging tools in any containeror image →Learn more at https://docs.docker.com/go/debug-cli/lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-lir•• 0ED→HomeDMsActivityFilesLaterMoreJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...^ Direct messagesP. Aneliya Angelova% Galya Dimitrova I. Petko Kashinski&. Stefka StoyanovaVasil VasilevCo Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:32:07Describe what you are looking for# releases8 226 0• MessagesC FilesBookmarks+9353b609 - JYToday~bee402b7- JY-20395 Stop fetching ALLheaders (including file) for email importd6a0fe5a - JY-20395 lintdaa0373e - JY-20395 lint fixesaf59d609 - JY-20395 Removed no longer usedmethodsShow morejiminny/app| Added by GitHubCircleCl APP 5:11 PMDeployment Successful!Project: appWhen:05/11/202614:11:35Tag:View JobCircleCl APP 5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases+..•...
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JY-20725 add HS rate limit handling on activities JY-20725 add HS rate limit handling on activities rematching by LakyLak · Pull Request #12066 · jiminny/app — Work...
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VIeWWinaowScreenpipe sync script failing after rec VIeWWinaowScreenpipe sync script failing after recent migrations0, Chat°= Cowork+ New chat5 Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notion t® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminauiHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betwesWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedClick to collapse *8Wouldn't it be easier to implement a retention policy that the ScreenPipe, forsome reason, doesn't support and always remove all your data from the originalScreenPipe SQLite database as a part of the script that moves the data to theNAS? Let's say I would like to move data from yesterday and also remove olderdataTrom the NAs, like, let's sav. more than one week. Can vou write such ascript, or, first of all, is it a better solution? I can still update the NAS once inthree montns, and then can create a sevarare darabase out al wavs nave onethree-month database for ScreenPipe.Architected retention-based sync strategy with reinstall detection handling >Yes, this is genuinely a better fit for your use case. Let me explain why, then write the script.Why this approach winsThe composite-key design solves a problem you'd only hit if Mac and NAS both heldoverladping data forever. But the workflow vou actually want — Mac holds a rolling 7-davwindow, NAS holds everything historical - means the two databases never overlap in time.Mac always has only recent data. NAS has everything older. So:• Mac source IDs stay monotonic forever because you only ever DELETE old rows(DELETE preserves sqlite_sequence ). Source's id=50000 today, id=50001 next, no• NAS uses source's exact schema - clone it via . schema and execute on NAS, preservingINTEGER PRIMARY KEY AUTOINCREMENT. RealPKs. real INSERT OR IGNORE no sDecialhandling.• Queries stay simple - SELECT * FROM elements WHERE frame_id = X works withoutcomposite joins.• Performance is optimal - INTEGER PK = ROWID alias, single B-tree traversal.The one edge case: reinstallIf you reinstall screenpipe, source's machine_id changes and ids restart at 1. NAS still has ids1..N from the previous era. New INSERT OR IGNORE would silently skip new data as"duplicates."Solution: the sync script detects the machine_id change and rotates the NAS archive -renamesarchive.dh to archive-<eras-<date>.dh and startstrech. Bofh eras stavqueryable; current archive is always clean. This matches your quarterly-rotation idea anyway:rotations happen automatically on reinstall, plu v u can trigger one manually every 3 monthsfor size reasons.Write a message…Opus 4.7 Adaptive vlK Lukas. ProClaude is Al and can make mistakes. Please double-check responses.New Tab@ Screenpipe — Archive& All docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(* SQLite Web: db.sqlite4 New Tal, 50 lal100% C28• Mon 11 May 19:32:07ipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsOCr. Textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users/data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULLaleam9229970ndananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitoOAA5 mananal...
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-4872165716914596962
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idle
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ocr
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VIeWWinaowScreenpipe sync script failing after rec VIeWWinaowScreenpipe sync script failing after recent migrations0, Chat°= Cowork+ New chat5 Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notion t® How much have I spent for groc...Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminauiHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betwesWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedClick to collapse *8Wouldn't it be easier to implement a retention policy that the ScreenPipe, forsome reason, doesn't support and always remove all your data from the originalScreenPipe SQLite database as a part of the script that moves the data to theNAS? Let's say I would like to move data from yesterday and also remove olderdataTrom the NAs, like, let's sav. more than one week. Can vou write such ascript, or, first of all, is it a better solution? I can still update the NAS once inthree montns, and then can create a sevarare darabase out al wavs nave onethree-month database for ScreenPipe.Architected retention-based sync strategy with reinstall detection handling >Yes, this is genuinely a better fit for your use case. Let me explain why, then write the script.Why this approach winsThe composite-key design solves a problem you'd only hit if Mac and NAS both heldoverladping data forever. But the workflow vou actually want — Mac holds a rolling 7-davwindow, NAS holds everything historical - means the two databases never overlap in time.Mac always has only recent data. NAS has everything older. So:• Mac source IDs stay monotonic forever because you only ever DELETE old rows(DELETE preserves sqlite_sequence ). Source's id=50000 today, id=50001 next, no• NAS uses source's exact schema - clone it via . schema and execute on NAS, preservingINTEGER PRIMARY KEY AUTOINCREMENT. RealPKs. real INSERT OR IGNORE no sDecialhandling.• Queries stay simple - SELECT * FROM elements WHERE frame_id = X works withoutcomposite joins.• Performance is optimal - INTEGER PK = ROWID alias, single B-tree traversal.The one edge case: reinstallIf you reinstall screenpipe, source's machine_id changes and ids restart at 1. NAS still has ids1..N from the previous era. New INSERT OR IGNORE would silently skip new data as"duplicates."Solution: the sync script detects the machine_id change and rotates the NAS archive -renamesarchive.dh to archive-<eras-<date>.dh and startstrech. Bofh eras stavqueryable; current archive is always clean. This matches your quarterly-rotation idea anyway:rotations happen automatically on reinstall, plu v u can trigger one manually every 3 monthsfor size reasons.Write a message…Opus 4.7 Adaptive vlK Lukas. ProClaude is Al and can make mistakes. Please double-check responses.New Tab@ Screenpipe — Archive& All docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(* SQLite Web: db.sqlite4 New Tal, 50 lal100% C28• Mon 11 May 19:32:07ipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1eletlielllselements fts (v)elements_fts_configelements_fts_dataelements_fts_idxframesframes_fts (v)frames_fts_configtrames tis datalframes_fts_idxmeetingsOCr. Textui_eventsui_events_fts (v)ui_events_fts_configui_events_fts_dataui_events_fts_idxViceo cnunksToggle helper tablesstructureContentQuervExportvideo_chunk_id offset_index timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14T06:23:20.994555÷00:00 /Users/Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/lukas/.screenpipeldataldata/2026-04-14/17762026-04-14T06:23:24.310310+00:00/Users/data/datal2026-04-14/177612026-04-14T06:23:25.864393+00:00 /Users/lukas/.screenpipe/data/data/2026-04-14/1776NULL2026-04-14T06:23:25.848448+00:00 /Users/lukas/.screenpipe/dataldata/2026-04-14/1776Slack2026-04-14T06:23:27.230179÷00:00/Users/lukas/.screenpipe/data/2026-04-14/1776NULL2026-04-14T06:23:30.287923+00:00/Users/lukas/.screenoioeldatoldata/2026-04-14/1776NULLaleam9229970ndananlearellNULUlukas/.screenpipe/data/datal2026-04-14/17762026-04-14706:23:56.387802÷00:00 /Users/NULLlukas/.screenpipe/data/data/2026-04-14/1776Jiminny Inc-Slack(Channel) -Jiminny Inc -SlackNULLNULLNULLIToast (DM) -Jiminny Inc -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitoOAA5 mananal...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519133535_m2.jpg...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
...
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[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.057462092,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"bounds":{"left":0.0,"top":0.08619314,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.09577015,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 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accessibility
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519146228_m1.jpg...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require 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unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", 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their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"}]...
|
-5020969173427241853
|
-8187034928260855700
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519164025_m2.jpg...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes...
|
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tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message 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place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"}]...
|
-2613766441503901608
|
-8763496505197737748
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes...
|
NULL
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NULL
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NULL
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NULL
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21060
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920
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0
|
2026-05-11T17:06:16.597103+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519176597_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
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NULL
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monitor_1
|
NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking
The container started before you updated the
.env
, so it's using the old placeholder key. Restart it to pick up the new one:
Copy code to clipboard
cd /volume1/screenpipe/app
sudo docker compose restart screenpipe-app
Then try again:
Copy code to clipboard
sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Message actions
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Message actions...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: nas]","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: nas]","depth":22,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: NAS]","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"__pycache__","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"logs","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"app_settings.json","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"archive.db-bak","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"U","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite-shm","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite-wal","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"U","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.db","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Outline Section","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"app_settings.json, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXStaticText","text":"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"ANTHROPIC_API_KEY=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","depth":28,"on_screen":true,"value":"ANTHROPIC_API_KEY=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","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=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","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"curl -X POST \"http://localhost:8766/api/pipes/day-recap/run?d=2026-04-25\"","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":true,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The container started before you updated the","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", so it's using the old placeholder key. Restart it to pick up the new one:","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\nsudo docker compose restart screenpipe-app","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Then try again:","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-245730669492622091
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-8484554665838539576
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking
The container started before you updated the
.env
, so it's using the old placeholder key. Restart it to pick up the new one:
Copy code to clipboard
cd /volume1/screenpipe/app
sudo docker compose restart screenpipe-app
Then try again:
Copy code to clipboard
sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Message actions
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Message actions...
|
21058
|
NULL
|
NULL
|
NULL
|
|
21077
|
NULL
|
0
|
2026-05-11T17:10:38.408095+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519438408_m2.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
|
NULL
|
monitor_2
|
NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
...
|
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
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2026-05-11T17:10:49.805672+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519449805_m1.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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True
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monitor_1
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both...
|
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Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"}]...
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556607221063026044
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-8763776880662820760
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
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An older item named “db.sqlite” already exists in An older item named “db.sqlite” already exists in this location. Do you want to replace it with the newer one you’re copying?
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An older item named “db.sqlite” already exists in An older item named “db.sqlite” already exists in this location. Do you want to replace it with the newer one you’re copying?
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Finder
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monitor_1
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An older item named “db.sqlite” already exists in An older item named “db.sqlite” already exists in this location. Do you want to replace it with the newer one you’re copying?
Keep Both
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An older item named “db.sqlite” already exists in An older item named “db.sqlite” already exists in this location. Do you want to replace it with the newer one you’re copying?
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FinderFileEditViewGoWindowHelp‹ >0 lol-zshDOCKER- ₴81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ open~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |*4-zsh*5screenpipe"100% C8• Mon 11 May 20:16:12181O ₴6-zsh*7Copying "db.sqlite" to "screenpipe"599,8 MB of 3,71 GB - About a minute$IPSClaude...
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FinderFavouritesjiminny(* AirDrop@ RecentsA, Applications|9 Documentsii lukasIcloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Networkто СRМ• Orange• Red• Yellow• Greer• Blue• Purple• All lags..VIeWWinaowscreenpipe?wecycie• db.sqlitedb.sqlite-shmarchive.dbvi loassync.log• screenpipe.2026-05-07.0.1ogv data•2026-05-07• 2026-05-062026-04.292026-04-27> 2026-04-25•2026-04-24• 2026-04-22•2026-04-23• 2026-04-20• 2026.04.212026-04-17•2026-04-16• 2026-04-152026-04-14- screenpipe_sync_updated.sharchive.db-oak>?app• db.sqlite-walscreenpipe_sync.shann cettinas ison• screenpipe.db›_pipes88 =M0Share Edit TagsActionv Q SearchDate ModifiedToday at 20:15Today at 19:16Yesterdav at 20:48Yesterdav at 13:47Yesterday at 13:477 May 2026 at 21:50Yesterday at 13:468 May 2026 at 9:266 May 2026 at 21:0228 Aar 2026 at 22:2228 Apr 2026 at 9:1926 Apr 2026 at 16:3524 Aor 2026 at 22:3024 Apr 2026 at 12:0824 Apr 2026 at 12:0722 Apr 2026 at 18:4422 Anr 2026 nt 0:1617 Apr 2026 at 8:5716 Anr 2026 at 0:1215 Apr 2026 at 9:59Yesterday at 13:06Yesterdav at 12:312A Anr 2026 20:10.26 Apr 2026 at 17:1718 Apr 2026 at 18.3518 Anr 2026 at 17:1213 Apr 2026 at 17:2111 Apr 2026 at 16:5162,68 GB Folder33 KB Document12.92 GB Document573 KB Folder7 KB Log File566 KB Loa File7,2 CB Folder305,6 MBFolder18,8 MBFolder1667 MP Calder339,8 MB Folder39,7 MBrolder149.1 MB Folden265,5 MB Folder171,8 MBroldel525.4 MBFolderA50 9 MP Soldon83/.2MBrolder215 GR Folden1,09 GBFolder20 KBTerminal scripts1113 G:193 KB FolderZero bytesDocument15 KBTerminal scripts31 bytes JSONZero bytes13 KB Folder30 items, 1.94 TB availabldravountes• jiminny(®) AirDrop© RecentsA Applications|9 Documents• Downloadsii lukasiCloud• iCloud Drive992 Svnc toldeLocations0 DXP4800PLUS-B5F A49 Network• CRM• Orange• Red• Yellow• Greero Bue• Purple• All Tags..S0 hhlvShare Add Tags100% S2,screenpipedb.sclltedatadb.salite-walscreenpipe.2026-05-07.0.1ogscreenpipe. 2026-05-11.0.log2)screenpipe.2026-05-08.0.1ogscreenpipe.2026-05-09.0.logdb.sqlite-shm• screenpipe.2026-05-10.0.logscreenpipe.2026-05-06.0.100screenpipe_sync.sh• screenpipe_sync.sh.bak›pipessvnc.lodclipboard-disabled-after-crashQ Searchoate oameaToday at 20:15Today at 20:15Today at 20:157 May 2026 at 21:508 May 2026 at 22:209 Mav 2026 at 23:04Today at 16:22Yesterday at 23:516 May 2026 at 21:02Yecterdav at 12:216 May 2026 at 20:26Yesterday at 11:39Yesterdav at 20:45Yesterday at 14:43Mon 11 May 20:16:12wind271 Cp Nosumont16,6 MBDocument566 KB Loa File483 KB Log File382 KBLog File167 KB Loa File98 KB Document88 KBLog File28 K:Loa File21 KRTerminal scripts15 KE13 KBrolder8KBILoa FileZero bytes Document1 of 15 selected, 15.16 GB availabl....
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Claude is responding
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
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Formulating clarifying questions about ID collision strategy and retention implementation
Formulating clarifying questions about ID collision strategy and retention implementation
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Claude is responding
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
20:19
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Formulating clarifying questions about ID collision strategy and retention implementation
Formulating clarifying questions about ID collision strategy and retention implementation
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2026-05-11T17:20:59.586904+00:00
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Claude finished the response
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
20:19
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Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Analyzed three technical challenges and identified clarifying questions needed
Analyzed three technical challenges and identified clarifying questions needed
Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:
Issue 1 — ID collisions / archive rotation
Has a reinstall already happened, or is the current
archive.db
still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.
Quarterly rotation works, but it doesn't actually solve reinstalls
within
a quarter. A cleaner option that I'd lean toward: add an
install_id
column (UUID generated once and stored in a tiny
_meta
table in the source DB) to every synced table, and make
(install_id, id)
the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.
Do you ever run cross-period queries (e.g. "every frame mentioning JY-20458 across all time")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.
Issue 2 — Mac-side retention
Your launch command already has
--retention-days 7
. Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?
Should retention also wipe the matching
~/.screenpipe/data/data/YYYY-MM-DD/
folders, or only DB rows? (CLI flag does both I believe; a script should match.)
Run order matters: sync writes
yesterday
, retention deletes
>7 days old
— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?
Issue 3 — Audio
Your current launch flag is
--disable-audio
, so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?
I need the audio schema. Could you run this and paste the output:
Copy to clipboard
sqlite3 ~/.screenpipe/db.sqlite ".schema" | grep -iE -A 20 "audio|transcription"
And:
ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head
so I can see what audio files look like on disk alongside the mp4 frames.
Once I have those, I'll restructure the script in one go rather than piecemeal.
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Before I touch the script, a few things:","depth":25,"bounds":{"left":0.17952128,"top":0.43735036,"width":0.22905585,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17952128,"top":0.43735036,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":234,"bounds":{"left":0.17952128,"top":0.43735036,"width":0.22905585,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Issue 1 — ID collisions / archive rotation","depth":26,"bounds":{"left":0.17952128,"top":0.50438946,"width":0.10006649,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17952128,"top":0.50438946,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":41,"bounds":{"left":0.18151596,"top":0.50438946,"width":0.098071806,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Has a reinstall already happened, or is the current","depth":26,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.122340426,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":50,"bounds":{"left":0.19448139,"top":0.5331205,"width":0.11702128,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":27,"bounds":{"left":0.31382978,"top":0.5339186,"width":0.028922873,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.31382978,"top":0.53471667,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":9,"bounds":{"left":0.3168218,"top":0.53471667,"width":0.025930852,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.","depth":26,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.21642287,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.34408244,"top":0.5331205,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":121,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.21642287,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"Quarterly rotation works, but it doesn't actually solve reinstalls","depth":26,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.15458776,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":65,"bounds":{"left":0.19448139,"top":0.5746209,"width":0.14926861,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"within","depth":27,"bounds":{"left":0.34474733,"top":0.5746209,"width":0.015625,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.34474733,"top":0.5746209,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":5,"bounds":{"left":0.34906915,"top":0.5746209,"width":0.011303191,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"a quarter. A cleaner option that I'd lean toward: add an","depth":26,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.21908244,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.36037233,"top":0.5746209,"width":0.0009973404,"height":0.016759777}},{"char_start":1,"char_count":55,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.21875,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"install_id","depth":27,"bounds":{"left":0.27593085,"top":0.594573,"width":0.028922873,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.27593085,"top":0.5953711,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":9,"bounds":{"left":0.2789229,"top":0.5953711,"width":0.025930852,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"column (UUID generated once and stored in a tiny","depth":26,"bounds":{"left":0.19015957,"top":0.5937749,"width":0.21941489,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.30618352,"top":0.5937749,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":47,"bounds":{"left":0.19015957,"top":0.5937749,"width":0.21941489,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"_meta","depth":27,"bounds":{"left":0.21210106,"top":0.61372703,"width":0.01462766,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.21243352,"top":0.61452514,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":4,"bounds":{"left":0.21509309,"top":0.61452514,"width":0.011635638,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"table in the source DB) to every synced table, and make","depth":26,"bounds":{"left":0.22805852,"top":0.612929,"width":0.13730054,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.22839096,"top":0.612929,"width":0.0009973404,"height":0.016759777}},{"char_start":1,"char_count":54,"bounds":{"left":0.2293883,"top":0.612929,"width":0.13231383,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"(install_id, id)","depth":27,"bounds":{"left":0.19015957,"top":0.61372703,"width":0.21409574,"height":0.03431764},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.","depth":26,"bounds":{"left":0.19015957,"top":0.632083,"width":0.21941489,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.20013298,"top":0.632083,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":207,"bounds":{"left":0.19015957,"top":0.632083,"width":0.21941489,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Do you ever run cross-period queries (e.g. \"every frame mentioning JY-20458 across all time\")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.","depth":26,"bounds":{"left":0.19015957,"top":0.6927374,"width":0.21343085,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.6927374,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":184,"bounds":{"left":0.19015957,"top":0.6927374,"width":0.21343085,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Issue 2 — Mac-side retention","depth":26,"bounds":{"left":0.17952128,"top":0.76935357,"width":0.0731383,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17952128,"top":0.76935357,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":27,"bounds":{"left":0.18151596,"top":0.76935357,"width":0.07114362,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Your launch command already has","depth":26,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.08610372,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.0033244682,"height":0.016759777}},{"char_start":1,"char_count":30,"bounds":{"left":0.19348404,"top":0.7980846,"width":0.08178192,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"--retention-days 7","depth":27,"bounds":{"left":0.27759308,"top":0.79888266,"width":0.051861703,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.27759308,"top":0.79968077,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":17,"bounds":{"left":0.28025267,"top":0.79968077,"width":0.04920213,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":". Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?","depth":26,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.21010639,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.3307846,"top":0.7980846,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":122,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.21010639,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Should retention also wipe the matching","depth":26,"bounds":{"left":0.19015957,"top":0.858739,"width":0.100398935,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.858739,"width":0.0033244682,"height":0.016759777}},{"char_start":1,"char_count":38,"bounds":{"left":0.19348404,"top":0.858739,"width":0.09607713,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/data/data/YYYY-MM-DD/","depth":27,"bounds":{"left":0.2918883,"top":0.8595371,"width":0.10073138,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.2918883,"top":0.8603352,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":34,"bounds":{"left":0.29488033,"top":0.8603352,"width":0.09773936,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"folders, or only DB rows? (CLI flag does both I believe; a script should match.)","depth":26,"bounds":{"left":0.19015957,"top":0.87789303,"width":0.18849733,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.87789303,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":79,"bounds":{"left":0.19215426,"top":0.87789303,"width":0.18650267,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Run order matters: sync writes","depth":26,"bounds":{"left":0.19015957,"top":0.9002394,"width":0.07579787,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.9002394,"width":0.003656915,"height":0.016759777}},{"char_start":1,"char_count":29,"bounds":{"left":0.19381648,"top":0.9002394,"width":0.07114362,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"yesterday","depth":27,"bounds":{"left":0.26595744,"top":0.9002394,"width":0.024268618,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", retention deletes","depth":26,"bounds":{"left":0.28989363,"top":0.9002394,"width":0.045212764,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":">7 days old","depth":27,"bounds":{"left":0.33477393,"top":0.9002394,"width":0.027593086,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?","depth":26,"bounds":{"left":0.19015957,"top":0.9002394,"width":0.21575798,"height":0.054269753},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Issue 3 — Audio","depth":26,"bounds":{"left":0.17952128,"top":0.9768556,"width":0.040226065,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your current launch flag is","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.06549202,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"--disable-audio","depth":27,"bounds":{"left":0.25698137,"top":0.9992019,"width":0.043218084,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.21542554,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"I need the audio schema. Could you run this and paste the output:","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.16023937,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.40824467,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sqlite3 ~/.screenpipe/db.sqlite \".schema\" | grep -iE -A 20 \"audio|transcription\"","depth":27,"bounds":{"left":0.18151596,"top":0.9992019,"width":0.2293883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"And:","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.012965426,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head","depth":27,"bounds":{"left":0.2044548,"top":0.9992019,"width":0.1668883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"so I can see what audio files look like on disk alongside the mp4 frames.","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.21143617,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Once I have those, I'll restructure the script in one go rather than piecemeal.","depth":25,"bounds":{"left":0.17952128,"top":0.9992019,"width":0.18450798,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.1768617,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.1875,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.1981383,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.2087766,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Scroll to bottom","depth":21,"bounds":{"left":0.29321808,"top":0.8475658,"width":0.011968086,"height":0.02952913},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"Write a message…","depth":25,"bounds":{"left":0.17852394,"top":0.90901834,"width":0.24401596,"height":0.018355945},"on_screen":true,"value":"Write a message…","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Write a message…","depth":28,"bounds":{"left":0.17852394,"top":0.90981644,"width":0.04654255,"height":0.016759777},"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Add files, connectors, and more","depth":27,"bounds":{"left":0.17719415,"top":0.93695134,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"Model: Opus 4.7 Adaptive","depth":27,"bounds":{"left":0.3570479,"top":0.93695134,"width":0.05219415,"height":0.025538707},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Opus 4.7","depth":29,"bounds":{"left":0.36037233,"top":0.9425379,"width":0.019281914,"height":0.013567438},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Adaptive","depth":28,"bounds":{"left":0.38131648,"top":0.9425379,"width":0.019946808,"height":0.013567438},"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Settings","depth":26,"on_screen":false,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Press and hold to record","depth":25,"bounds":{"left":0.4119016,"top":0.9385475,"width":0.010638298,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"Claude is AI and can make mistakes. Please double-check responses.","depth":22,"bounds":{"left":0.23503989,"top":0.980846,"width":0.12832446,"height":0.011971269},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude is AI and can make mistakes. Please double-check responses.","depth":23,"bounds":{"left":0.23503989,"top":0.980846,"width":0.12832446,"height":0.011971269},"on_screen":true,"role_description":"text"}]...
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Claude finished the response
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
20:19
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Edit
Copy
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Analyzed three technical challenges and identified clarifying questions needed
Analyzed three technical challenges and identified clarifying questions needed
Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:
Issue 1 — ID collisions / archive rotation
Has a reinstall already happened, or is the current
archive.db
still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.
Quarterly rotation works, but it doesn't actually solve reinstalls
within
a quarter. A cleaner option that I'd lean toward: add an
install_id
column (UUID generated once and stored in a tiny
_meta
table in the source DB) to every synced table, and make
(install_id, id)
the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.
Do you ever run cross-period queries (e.g. "every frame mentioning JY-20458 across all time")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.
Issue 2 — Mac-side retention
Your launch command already has
--retention-days 7
. Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?
Should retention also wipe the matching
~/.screenpipe/data/data/YYYY-MM-DD/
folders, or only DB rows? (CLI flag does both I believe; a script should match.)
Run order matters: sync writes
yesterday
, retention deletes
>7 days old
— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?
Issue 3 — Audio
Your current launch flag is
--disable-audio
, so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?
I need the audio schema. Could you run this and paste the output:
Copy to clipboard
sqlite3 ~/.screenpipe/db.sqlite ".schema" | grep -iE -A 20 "audio|transcription"
And:
ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head
so I can see what audio files look like on disk alongside the mp4 frames.
Once I have those, I'll restructure the script in one go rather than piecemeal.
Copy
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2026-05-11T17:21:09.968544+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778520069968_m1.jpg...
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Claude finished the response
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
20:19
Retry
Edit
Copy
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Analyzed three technical challenges and identified clarifying questions needed
Analyzed three technical challenges and identified clarifying questions needed
Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:
Issue 1 — ID collisions / archive rotation
Has a reinstall already happened, or is the current
archive.db
still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.
Quarterly rotation works, but it doesn't actually solve reinstalls
within
a quarter. A cleaner option that I'd lean toward: add an
install_id
column (UUID generated once and stored in a tiny
_meta
table in the source DB) to every synced table, and make
(install_id, id)
the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.
Do you ever run cross-period queries (e.g. "every frame mentioning JY-20458 across all time")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.
Issue 2 — Mac-side retention
Your launch command already has
--retention-days 7
. Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?
Should retention also wipe the matching
~/.screenpipe/data/data/YYYY-MM-DD/
folders, or only DB rows? (CLI flag does both I believe; a script should match.)
Run order matters: sync writes
yesterday
, retention deletes
>7 days old
— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?
Issue 3 — Audio
Your current launch flag is
--disable-audio
, so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?
I need the audio schema. Could you run this and paste the output:
Copy to clipboard
sqlite3 ~/.screenpipe/db.sqlite ".schema" | grep -iE -A 20 "audio|transcription"
And:
ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head
so I can see what audio files look like on disk alongside the mp4 frames.
Once I have those, I'll restructure the script in one go rather than piecemeal.
Copy
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There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"20:19","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…","depth":21,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed three technical challenges and identified clarifying questions needed","depth":22,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed three technical challenges and identified clarifying questions needed","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Issue 1 — ID collisions / archive rotation","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Has a reinstall already happened, or is the current","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Quarterly rotation works, but it doesn't actually solve reinstalls","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"within","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"a quarter. A cleaner option that I'd lean toward: add an","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"install_id","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"column (UUID generated once and stored in a tiny","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"_meta","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"table in the source DB) to every synced table, and make","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"(install_id, id)","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Do you ever run cross-period queries (e.g. \"every frame mentioning JY-20458 across all time\")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Issue 2 — Mac-side retention","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your launch command already has","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"--retention-days 7","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":". Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Should retention also wipe the matching","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/data/data/YYYY-MM-DD/","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"folders, or only DB rows? (CLI flag does both I believe; a script should match.)","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Run order matters: sync writes","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"yesterday","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", retention deletes","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":">7 days old","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Issue 3 — Audio","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your current launch flag is","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"--disable-audio","depth":27,"bounds":{"left":0.0,"top":0.0,"width":0.090277776,"height":0.0011111111},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"I need the audio schema. Could you run this and paste the output:","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.28819445,"top":0.0,"width":0.022222223,"height":0.0011111111},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sqlite3 ~/.screenpipe/db.sqlite \".schema\" | grep -iE -A 20 \"audio|transcription\"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"And:","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"so I can see what audio files look like on disk alongside the mp4 frames.","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Once I have those, I'll restructure the script in one go rather than piecemeal.","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":true,"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":true,"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":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Scroll to bottom","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"Write a message…","depth":25,"on_screen":true,"value":"Write a message…","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Write a message…","depth":28,"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Add files, connectors, and more","depth":27,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"Model: Opus 4.7 Adaptive","depth":27,"bounds":{"left":0.18125,"top":0.0,"width":0.10902778,"height":0.035555556},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Opus 4.7","depth":29,"bounds":{"left":0.18819444,"top":0.0,"width":0.04027778,"height":0.018888889},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Adaptive","depth":28,"bounds":{"left":0.23194444,"top":0.0,"width":0.041666668,"height":0.018888889},"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Settings","depth":26,"on_screen":false,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Press and hold to record","depth":25,"bounds":{"left":0.29583332,"top":0.0,"width":0.022222223,"height":0.031111112},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"Claude is AI and can make mistakes. Please double-check responses.","depth":22,"bounds":{"left":0.0,"top":0.0,"width":0.26805556,"height":0.016666668},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude is AI and can make mistakes. Please double-check responses.","depth":23,"bounds":{"left":0.0,"top":0.0,"width":0.26805556,"height":0.016666668},"on_screen":true,"role_description":"text"}]...
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Claude finished the response
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
20:19
Retry
Edit
Copy
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Analyzed three technical challenges and identified clarifying questions needed
Analyzed three technical challenges and identified clarifying questions needed
Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:
Issue 1 — ID collisions / archive rotation
Has a reinstall already happened, or is the current
archive.db
still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.
Quarterly rotation works, but it doesn't actually solve reinstalls
within
a quarter. A cleaner option that I'd lean toward: add an
install_id
column (UUID generated once and stored in a tiny
_meta
table in the source DB) to every synced table, and make
(install_id, id)
the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.
Do you ever run cross-period queries (e.g. "every frame mentioning JY-20458 across all time")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.
Issue 2 — Mac-side retention
Your launch command already has
--retention-days 7
. Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?
Should retention also wipe the matching
~/.screenpipe/data/data/YYYY-MM-DD/
folders, or only DB rows? (CLI flag does both I believe; a script should match.)
Run order matters: sync writes
yesterday
, retention deletes
>7 days old
— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?
Issue 3 — Audio
Your current launch flag is
--disable-audio
, so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?
I need the audio schema. Could you run this and paste the output:
Copy to clipboard
sqlite3 ~/.screenpipe/db.sqlite ".schema" | grep -iE -A 20 "audio|transcription"
And:
ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head
so I can see what audio files look like on disk alongside the mp4 frames.
Once I have those, I'll restructure the script in one go rather than piecemeal.
Copy
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Claude is AI and can make mistakes. Please double-check responses.
Claude is AI and can make mistakes. Please double-check responses....
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21190
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927
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0
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2026-05-11T17:21:29.897697+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778520089897_m2.jpg...
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Claude finished the response
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
Pasted Text, pasted, 495 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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
20:19
Retry
Edit
Copy
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Analyzed three technical challenges and identified clarifying questions needed
Analyzed three technical challenges and identified clarifying questions needed
Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:
Issue 1 — ID collisions / archive rotation
Has a reinstall already happened, or is the current
archive.db
still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.
Quarterly rotation works, but it doesn't actually solve reinstalls
within
a quarter. A cleaner option that I'd lean toward: add an
install_id
column (UUID generated once and stored in a tiny
_meta
table in the source DB) to every synced table, and make
(install_id, id)
the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.
Do you ever run cross-period queries (e.g. "every frame mentioning JY-20458 across all time")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.
Issue 2 — Mac-side retention
Your launch command already has
--retention-days 7
. Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?
Should retention also wipe the matching
~/.screenpipe/data/data/YYYY-MM-DD/
folders, or only DB rows? (CLI flag does both I believe; a script should match.)
Run order matters: sync writes
yesterday
, retention deletes
>7 days old
— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?
Issue 3 — Audio
Your current launch flag is
--disable-audio
, so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?
I need the audio schema. Could you run this and paste the output:
Copy to clipboard
sqlite3 ~/.screenpipe/db.sqlite ".schema" | grep -iE -A 20 "audio|transcription"
And:
ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head
so I can see what audio files look like on disk alongside the mp4 frames.
Once I have those, I'll restructure the script in one go rather than piecemeal.
Copy
Give positive feedback
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Retry
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Model: Opus 4.7 Adaptive
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Claude is AI and can make mistakes. Please double-check responses.
Claude is AI and can make mistakes. Please double-check responses....
|
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There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need","depth":24,"bounds":{"left":0.21875,"top":0.20271349,"width":0.19581117,"height":0.15881884},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.21875,"top":0.20271349,"width":0.0033244682,"height":0.015961692}},{"char_start":1,"char_count":641,"bounds":{"left":0.21875,"top":0.20271349,"width":0.19581117,"height":0.15961692}}],"role_description":"text"},{"role":"AXStaticText","text":"20:19","depth":22,"bounds":{"left":0.3776596,"top":0.38228253,"width":0.00930851,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.3776596,"top":0.38228253,"width":0.0023271276,"height":0.012769354}},{"char_start":1,"char_count":4,"bounds":{"left":0.3799867,"top":0.38228253,"width":0.00731383,"height":0.012769354}}],"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.38962767,"top":0.37509975,"width":0.010638298,"height":0.026336791},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.40026596,"top":0.37509975,"width":0.010638298,"height":0.026336791},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.41090426,"top":0.37509975,"width":0.010638298,"height":0.026336791},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…","depth":21,"bounds":{"left":0.17652926,"top":0.40303272,"width":0.0003324468,"height":0.0015961692},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…","depth":22,"bounds":{"left":0.17652926,"top":0.4038308,"width":0.32347074,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed three technical challenges and identified clarifying questions needed","depth":22,"bounds":{"left":0.17952128,"top":0.4086193,"width":0.24202128,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed three technical challenges and identified clarifying questions needed","depth":23,"bounds":{"left":0.17918883,"top":0.4301676,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17918883,"top":0.43256184,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":77,"bounds":{"left":0.18351063,"top":0.43256184,"width":0.18982713,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:","depth":25,"bounds":{"left":0.17952128,"top":0.43735036,"width":0.22905585,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17952128,"top":0.43735036,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":234,"bounds":{"left":0.17952128,"top":0.43735036,"width":0.22905585,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Issue 1 — ID collisions / archive rotation","depth":26,"bounds":{"left":0.17952128,"top":0.50438946,"width":0.10006649,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17952128,"top":0.50438946,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":41,"bounds":{"left":0.18151596,"top":0.50438946,"width":0.098071806,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Has a reinstall already happened, or is the current","depth":26,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.122340426,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":50,"bounds":{"left":0.19448139,"top":0.5331205,"width":0.11702128,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":27,"bounds":{"left":0.31382978,"top":0.5339186,"width":0.028922873,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.31382978,"top":0.53471667,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":9,"bounds":{"left":0.3168218,"top":0.53471667,"width":0.025930852,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.","depth":26,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.21642287,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.34408244,"top":0.5331205,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":121,"bounds":{"left":0.19015957,"top":0.5331205,"width":0.21642287,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"Quarterly rotation works, but it doesn't actually solve reinstalls","depth":26,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.15458776,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":65,"bounds":{"left":0.19448139,"top":0.5746209,"width":0.14926861,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"within","depth":27,"bounds":{"left":0.34474733,"top":0.5746209,"width":0.015625,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.34474733,"top":0.5746209,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":5,"bounds":{"left":0.34906915,"top":0.5746209,"width":0.011303191,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"a quarter. A cleaner option that I'd lean toward: add an","depth":26,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.21908244,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.36037233,"top":0.5746209,"width":0.0009973404,"height":0.016759777}},{"char_start":1,"char_count":55,"bounds":{"left":0.19015957,"top":0.5746209,"width":0.21875,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"install_id","depth":27,"bounds":{"left":0.27593085,"top":0.594573,"width":0.028922873,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.27593085,"top":0.5953711,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":9,"bounds":{"left":0.2789229,"top":0.5953711,"width":0.025930852,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"column (UUID generated once and stored in a tiny","depth":26,"bounds":{"left":0.19015957,"top":0.5937749,"width":0.21941489,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.30618352,"top":0.5937749,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":47,"bounds":{"left":0.19015957,"top":0.5937749,"width":0.21941489,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"_meta","depth":27,"bounds":{"left":0.21210106,"top":0.61372703,"width":0.01462766,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.21243352,"top":0.61452514,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":4,"bounds":{"left":0.21509309,"top":0.61452514,"width":0.011635638,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"table in the source DB) to every synced table, and make","depth":26,"bounds":{"left":0.22805852,"top":0.612929,"width":0.13730054,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.22839096,"top":0.612929,"width":0.0009973404,"height":0.016759777}},{"char_start":1,"char_count":54,"bounds":{"left":0.2293883,"top":0.612929,"width":0.13231383,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"(install_id, id)","depth":27,"bounds":{"left":0.19015957,"top":0.61372703,"width":0.21409574,"height":0.03431764},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.","depth":26,"bounds":{"left":0.19015957,"top":0.632083,"width":0.21941489,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.20013298,"top":0.632083,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":207,"bounds":{"left":0.19015957,"top":0.632083,"width":0.21941489,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Do you ever run cross-period queries (e.g. \"every frame mentioning JY-20458 across all time\")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.","depth":26,"bounds":{"left":0.19015957,"top":0.6927374,"width":0.21343085,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.6927374,"width":0.0043218085,"height":0.016759777}},{"char_start":1,"char_count":184,"bounds":{"left":0.19015957,"top":0.6927374,"width":0.21343085,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Issue 2 — Mac-side retention","depth":26,"bounds":{"left":0.17952128,"top":0.76935357,"width":0.0731383,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.17952128,"top":0.76935357,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":27,"bounds":{"left":0.18151596,"top":0.76935357,"width":0.07114362,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Your launch command already has","depth":26,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.08610372,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.0033244682,"height":0.016759777}},{"char_start":1,"char_count":30,"bounds":{"left":0.19348404,"top":0.7980846,"width":0.08178192,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"--retention-days 7","depth":27,"bounds":{"left":0.27759308,"top":0.79888266,"width":0.051861703,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.27759308,"top":0.79968077,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":17,"bounds":{"left":0.28025267,"top":0.79968077,"width":0.04920213,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":". Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?","depth":26,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.21010639,"height":0.054269753},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.3307846,"top":0.7980846,"width":0.0013297872,"height":0.016759777}},{"char_start":1,"char_count":122,"bounds":{"left":0.19015957,"top":0.7980846,"width":0.21010639,"height":0.055067837}}],"role_description":"text"},{"role":"AXStaticText","text":"Should retention also wipe the matching","depth":26,"bounds":{"left":0.19015957,"top":0.858739,"width":0.100398935,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.858739,"width":0.0033244682,"height":0.016759777}},{"char_start":1,"char_count":38,"bounds":{"left":0.19348404,"top":0.858739,"width":0.09607713,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"~/.screenpipe/data/data/YYYY-MM-DD/","depth":27,"bounds":{"left":0.2918883,"top":0.8595371,"width":0.10073138,"height":0.015163607},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.2918883,"top":0.8603352,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":34,"bounds":{"left":0.29488033,"top":0.8603352,"width":0.09773936,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"folders, or only DB rows? (CLI flag does both I believe; a script should match.)","depth":26,"bounds":{"left":0.19015957,"top":0.87789303,"width":0.18849733,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.87789303,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":79,"bounds":{"left":0.19215426,"top":0.87789303,"width":0.18650267,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"Run order matters: sync writes","depth":26,"bounds":{"left":0.19015957,"top":0.9002394,"width":0.07579787,"height":0.015961692},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.19015957,"top":0.9002394,"width":0.003656915,"height":0.016759777}},{"char_start":1,"char_count":29,"bounds":{"left":0.19381648,"top":0.9002394,"width":0.07114362,"height":0.016759777}}],"role_description":"text"},{"role":"AXStaticText","text":"yesterday","depth":27,"bounds":{"left":0.26595744,"top":0.9002394,"width":0.024268618,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", retention deletes","depth":26,"bounds":{"left":0.28989363,"top":0.9002394,"width":0.045212764,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":">7 days old","depth":27,"bounds":{"left":0.33477393,"top":0.9002394,"width":0.027593086,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?","depth":26,"bounds":{"left":0.19015957,"top":0.9002394,"width":0.21575798,"height":0.054269753},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Issue 3 — Audio","depth":26,"bounds":{"left":0.17952128,"top":0.9768556,"width":0.040226065,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your current launch flag is","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.06549202,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"--disable-audio","depth":27,"bounds":{"left":0.25698137,"top":0.9992019,"width":0.043218084,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.21542554,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"I need the audio schema. Could you run this and paste the output:","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.16023937,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.40824467,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sqlite3 ~/.screenpipe/db.sqlite \".schema\" | grep -iE -A 20 \"audio|transcription\"","depth":27,"bounds":{"left":0.18151596,"top":0.9992019,"width":0.2293883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"And:","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.012965426,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head","depth":27,"bounds":{"left":0.2044548,"top":0.9992019,"width":0.1668883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"so I can see what audio files look like on disk alongside the mp4 frames.","depth":26,"bounds":{"left":0.19015957,"top":0.9992019,"width":0.21143617,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Once I have those, I'll restructure the script in one go rather than piecemeal.","depth":25,"bounds":{"left":0.17952128,"top":0.9992019,"width":0.18450798,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.1768617,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.1875,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.1981383,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.2087766,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Scroll to bottom","depth":21,"bounds":{"left":0.29321808,"top":0.8475658,"width":0.011968086,"height":0.02952913},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"Write a message…","depth":25,"bounds":{"left":0.17852394,"top":0.90901834,"width":0.24401596,"height":0.018355945},"on_screen":true,"value":"Write a message…","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Write a message…","depth":28,"bounds":{"left":0.17852394,"top":0.90981644,"width":0.04654255,"height":0.016759777},"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Add files, connectors, and more","depth":27,"bounds":{"left":0.17719415,"top":0.93695134,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"Model: Opus 4.7 Adaptive","depth":27,"bounds":{"left":0.3570479,"top":0.93695134,"width":0.05219415,"height":0.025538707},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Opus 4.7","depth":29,"bounds":{"left":0.36037233,"top":0.9425379,"width":0.019281914,"height":0.013567438},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Adaptive","depth":28,"bounds":{"left":0.38131648,"top":0.9425379,"width":0.019946808,"height":0.013567438},"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Settings","depth":26,"on_screen":false,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Press and hold to record","depth":25,"bounds":{"left":0.4119016,"top":0.9385475,"width":0.010638298,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"Claude is AI and can make mistakes. Please double-check responses.","depth":22,"bounds":{"left":0.23503989,"top":0.980846,"width":0.12832446,"height":0.011971269},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude is AI and can make mistakes. Please double-check responses.","depth":23,"bounds":{"left":0.23503989,"top":0.980846,"width":0.12832446,"height":0.011971269},"on_screen":true,"role_description":"text"}]...
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Bulgarian citizenship application process for EU residents
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Claude finished the response
You said: Lets start from the beginning with the fresh mind.
You said: Lets start from the beginning with the fresh mind.
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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. # # Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB, # the NAS archive gets ALTER TABLE'
PASTED
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas. There are two issues I want to work with. Firsts if I reinstall the mac version it starts from fresh id 1. That causes some issues. How to make sure the data are valid. I don't want some overcomplicated flow. I was thinking about making new db every 3 months. Secodn issue is that I wan to implement cleanup (retention policy) on mac original screenpipe db. I want script that will remove data that are 7 days old or older for example. ANd lastly I want to extedn the script to work with audio as well. What od you need
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Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Claude responded: Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether…
Analyzed three technical challenges and identified clarifying questions needed
Analyzed three technical challenges and identified clarifying questions needed
Good plan to tackle these together — they interact (retention timing depends on sync timing, audio sync depends on schema shape, ID strategy depends on whether reinstalls have already happened). Before I touch the script, a few things:
Issue 1 — ID collisions / archive rotation
Has a reinstall already happened, or is the current
archive.db
still from one continuous install? If collisions already exist I need to handle that first; if not, we have a clean slate.
Quarterly rotation works, but it doesn't actually solve reinstalls
within
a quarter. A cleaner option that I'd lean toward: add an
install_id
column (UUID generated once and stored in a tiny
_meta
table in the source DB) to every synced table, and make
(install_id, id)
the logical key. FK joins just gain one extra predicate. Reinstall → new install_id → no collisions, ever. You can still rotate the archive DB quarterly for file-size reasons, but it's no longer load-bearing.
Do you ever run cross-period queries (e.g. "every frame mentioning JY-20458 across all time")? That answers whether quarterly sharding is acceptable or whether one growing DB is better.
Issue 2 — Mac-side retention
Your launch command already has
--retention-days 7
. Is that not actually deleting anything, or do you want a separate scripted retention you can trust/observe independently?
Should retention also wipe the matching
~/.screenpipe/data/data/YYYY-MM-DD/
folders, or only DB rows? (CLI flag does both I believe; a script should match.)
Run order matters: sync writes
yesterday
, retention deletes
>7 days old
— no overlap, but I'd still chain them (sync → retention → log) in one cron entry so a failed sync blocks the delete. OK with that?
Issue 3 — Audio
Your current launch flag is
--disable-audio
, so right now there's no audio data to sync. Are you planning to enable it, or is this just to future-proof the script?
I need the audio schema. Could you run this and paste the output:
Copy to clipboard
sqlite3 ~/.screenpipe/db.sqlite ".schema" | grep -iE -A 20 "audio|transcription"
And:
ls ~/.screenpipe/data/data/$(date -v-1d +%Y-%m-%d)/ | head
so I can see what audio files look like on disk alongside the mp4 frames.
Once I have those, I'll restructure the script in one go rather than piecemeal.
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Claude is AI and can make mistakes. Please double-check responses.
Claude is AI and can make mistakes. Please double-check responses....
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