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2026-05-11T16:16:29.071412+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516189071_m2.jpg...
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SQLite Web: db.sqlite — Personal
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sqlite.screenpipe.lakylak.xyz
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memories_fts (v)
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ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
vision_tags
vision_tags
Toggle helper tables
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Sqlite
3.51.3
Filename
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Size
2.4 GB
Created
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Modified
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New Tab
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Screenpipe — Archive
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Screenpipe — Archive
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All docs · AFFiNE
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Query
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table name...
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audio_chunks
audio_chunks
audio_tags
audio_tags
audio_transcriptions
audio_transcriptions
audio_transcriptions_fts (v)
audio_transcriptions_fts
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audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
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elements
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elements_fts
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elements_fts_data
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elements_fts_idx
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frames
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frames_fts (v)
frames_fts
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frames_fts_config
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frames_fts_data
frames_fts_idx
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meetings
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pipe_executions
pipe_scheduler_state
pipe_scheduler_state
secrets
secrets
speaker_embeddings
speaker_embeddings
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sqlite_sequence
sqlite_sequence
sqlite_stat1
sqlite_stat1
sqlite_stat4
sqlite_stat4
tags
tags
ui_events
ui_events
ui_events_fts (v)
ui_events_fts
(v)
ui_events_fts_config
ui_events_fts_config
ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
vision_tags
vision_tags
Toggle helper tables
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Sqlite
3.51.3
Filename
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read-only
Size
2.4 GB
Created
Sunday May 10, 2026 at 11:47:AM
Modified
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Tables
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Filename
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Created
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Tables
Indexes
Triggers
Views
3.51.3
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read-only
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Sunday May 10, 2026 at 11:45:AM
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Query
table name...
_sqlx_migrations
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audio_chunks
audio_chunks
audio_tags
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audio_transcriptions
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audio_transcriptions_fts (v)
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(v)
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elements
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(v)
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(v)
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frames_fts_idx
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meetings
meetings
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memories_fts (v)
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(v)
memories_fts_config
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memories_fts_data
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memories_fts_idx
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pipe_executions
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secrets
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speaker_embeddings
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speakers
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tags
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ui_events
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(v)
ui_events_fts_config
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Sqlite
3.51.3
Filename
/data/db.sqlite
read-only
Size
2.4 GB
Created
Sunday May 10, 2026 at 11:47:AM
Modified
Sunday May 10, 2026 at 11:45:AM
Tables
46
Indexes
65
Triggers
15
Views
0
Sqlite
Filename
Size
Created
Modified
Tables
Indexes
Triggers
Views
3.51.3
/data/db.sqlite
read-only
2.4 GB
Sunday May 10, 2026 at 11:47:AM
Sunday May 10, 2026 at 11:45:AM
46
65
15
0
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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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:16:35Describe 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 APP5:35 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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:16:35Describe 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 APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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FirefoxcalVIewHistorybookmarksProtllesToolsWindowm FirefoxcalVIewHistorybookmarksProtllesToolsWindowmeleScreenpipe sync script failing after recent migrations0, Chat= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notiont® 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 terminaticHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedclear it every now and then on Mac but still be able to access it on NAS. Howwould doItThe issueYour archive's tables don't have proper primary keys. The script created them with CREATETABLE AS SELECT * FROM source WHERE 0, which copies columns but drops PRIMARY KEY,unou. constraints. and AUTOINCKoM JNi50• INSERT OR IGNORE had nothing to conflict on → silently inserted everything• Source id got copied as a plain integer column on NAS, with no uniqueness enforcement• When you reinstalled screenpipe May 6, source IDs reset to 1. Your NAS now has two rowswith id=100 - one from April 14, one from May 8 — that are entirelv difterent captures• JOIN queries on frame_id cross-match between eras, inflating element counts by 4-30%depending on dateThe fixUse mach:Reply-1) as the actual primary key, not just id . machine_id is a UUIDscreenpipe generates per install — it changes on reinstall but stays stable across regular use.• Same install + new data: id keeps incrementing, machine_id same. Composite keyuniauev ldentines each row.• Reinstall: new machine_id, ids start at 1 again. (new _machine_id, 1) is distinct from(old machine id. 1). Both preserved on NAS• Tables that don't carry machine_id in source (elements, ocr_text) get it propagated fromframes at sync time via JOIN.The Mac-clean-NAS-keep workflowThis is what you actually asked about. Two scripts:Sync (run nightly via cron): copies new data from Mac → NAS. Idempotent - already-syncedrows are skinned because machine id. 1d contlicts.Prune (run weekly, manually): after verifying NAS has the data, DELETE FROM frames WHEREdate(timestamp) ‹ cutoff on Mac source. same for elements, ocr_text, audio_chunks, ete.Then VACUUM to reclaim disk space.The crucial property: DELETE preserves sqlite_sequence . SQLite keeps the autoincrementcouinter even after voll de ete rows. So it vour last frame 1iD was 50.000 and voul de leteeverything, the next frame still gets id=50,001 V -ver reuses 1-50,000. No collisions withwhat s already on NASWrite a message…Opus 4.7 Adaptive vik tukas. ProClaude is Al and can make mistakes. Please double-check responses.QGWOAд 104 8• 1л 11 Мay 19:16:35New Tab(*Screenpipe - ArchiveAll docs • AFFINEam) DXP4800PLUS-B5F8* New Tab( SQLite Web: db.salite@ SQLite Web: db.salite x(*SQLite Web: db.sqlite+ New Tabsqlite-web 0.7.2_sqlx_migrationsaucio chunksiaudio_tagsaudio_transcriptionsaudio_transcriptions_ftsaudio_transcriptions_...audio_transcriptions_..audio_transcriptions_...elementselements_fts (v)elements its contiaelements_fts_dataelements tts Idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetinasmemoriesmemories_fts (v)memories_fts_configmemories fts datamemories_fts_idxocr_textpioe executionsipipe_scheduler_statesecretsspeaker_embeddingsspeakerssqlite_sequencesalite statlsalite_stat4tagsui_eventsui_events_fts (V)ui_events_fts_configsqlite.screenpipe.lakylak.xyzdb.sqliteSqliteFilenameSizeCreatedModifiedTablesIndexesTriggersViewsQueryExecute SQL query...3.51.3/data/db.sqlite read-only2.4 GBSunday May 10, 2026 at 11:47:AMSunday May 10, 2026 at 11:45:AM466515ExecuteSQLite database browser v0.7.2. powered by Flask and Peewee. © 2026 Charles Leifer...
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FirefoxcalVIewHistorybookmarksProtllesToolsWindowm FirefoxcalVIewHistorybookmarksProtllesToolsWindowmeleScreenpipe sync script failing after recent migrations0, Chat= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingExporting transaction data from Notiont® 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 terminaticHubSpot rate limit handling with executeUntitledgScreen pipe. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedclear it every now and then on Mac but still be able to access it on NAS. Howwould doItThe issueYour archive's tables don't have proper primary keys. The script created them with CREATETABLE AS SELECT * FROM source WHERE 0, which copies columns but drops PRIMARY KEY,unou. constraints. and AUTOINCKoM JNi50• INSERT OR IGNORE had nothing to conflict on → silently inserted everything• Source id got copied as a plain integer column on NAS, with no uniqueness enforcement• When you reinstalled screenpipe May 6, source IDs reset to 1. Your NAS now has two rowswith id=100 - one from April 14, one from May 8 — that are entirelv difterent captures• JOIN queries on frame_id cross-match between eras, inflating element counts by 4-30%depending on dateThe fixUse mach:Reply-1) as the actual primary key, not just id . machine_id is a UUIDscreenpipe generates per install — it changes on reinstall but stays stable across regular use.• Same install + new data: id keeps incrementing, machine_id same. Composite keyuniauev ldentines each row.• Reinstall: new machine_id, ids start at 1 again. (new _machine_id, 1) is distinct from(old machine id. 1). Both preserved on NAS• Tables that don't carry machine_id in source (elements, ocr_text) get it propagated fromframes at sync time via JOIN.The Mac-clean-NAS-keep workflowThis is what you actually asked about. Two scripts:Sync (run nightly via cron): copies new data from Mac → NAS. Idempotent - already-syncedrows are skinned because machine id. 1d contlicts.Prune (run weekly, manually): after verifying NAS has the data, DELETE FROM frames WHEREdate(timestamp) ‹ cutoff on Mac source. same for elements, ocr_text, audio_chunks, ete.Then VACUUM to reclaim disk space.The crucial property: DELETE preserves sqlite_sequence . SQLite keeps the autoincrementcouinter even after voll de ete rows. So it vour last frame 1iD was 50.000 and voul de leteeverything, the next frame still gets id=50,001 V -ver reuses 1-50,000. No collisions withwhat s already on NASWrite a message…Opus 4.7 Adaptive vik tukas. ProClaude is Al and can make mistakes. Please double-check responses.QGWOAд 104 8• 1л 11 Мay 19:16:35New Tab(*Screenpipe - ArchiveAll docs • AFFINEam) DXP4800PLUS-B5F8* New Tab( SQLite Web: db.salite@ SQLite Web: db.salite x(*SQLite Web: db.sqlite+ New Tabsqlite-web 0.7.2_sqlx_migrationsaucio chunksiaudio_tagsaudio_transcriptionsaudio_transcriptions_ftsaudio_transcriptions_...audio_transcriptions_..audio_transcriptions_...elementselements_fts (v)elements its contiaelements_fts_dataelements tts Idxframesframes_fts (v)frames_fts_configframes_fts_dataframes_fts_idxmeetinasmemoriesmemories_fts (v)memories_fts_configmemories fts datamemories_fts_idxocr_textpioe executionsipipe_scheduler_statesecretsspeaker_embeddingsspeakerssqlite_sequencesalite statlsalite_stat4tagsui_eventsui_events_fts (V)ui_events_fts_configsqlite.screenpipe.lakylak.xyzdb.sqliteSqliteFilenameSizeCreatedModifiedTablesIndexesTriggersViewsQueryExecute SQL query...3.51.3/data/db.sqlite read-only2.4 GBSunday May 10, 2026 at 11:47:AMSunday May 10, 2026 at 11:45:AM466515ExecuteSQLite database browser v0.7.2. powered by Flask and Peewee. © 2026 Charles Leifer...
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FirefoxcalVIewHistorybookmarksProtllesToolsWindowm FirefoxcalVIewHistorybookmarksProtllesToolsWindowmeleScreenpipe sync script failing after recent migrationsQ, Chat= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion@ How much have I spent for groc…Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locaticViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitledg Screen pipe. Is there ability..SMB mount access inconsistency betwea What is the hect switch IcanLast swimming outing with DaniDefinition of incarceratedclear it every now and then on Mac but still be able to access it on NAS. Howwould doItThe issueYour archive's tables don't have proper primary keys. The script created them with CREATETABLE AS SELECT * FROM source WHERE 0 , which copies columns but drops PRIMARY KEY.unou.constraints. andAUONCKoM oNir.s0• INSERT OR IGNORE had nothing to conflict on → silently inserted everything• Source id got copied as a plain integer column on NAS, with no uniqueness enforcement• When you reinstalled screenpipe May 6, source IDs reset to 1. Your NAS now has two rowswith id=100 - one from April 14, one from May 8 - that are entirely difterent captures• JOIN queries on frame id cross-match between eras, inflating element counts by 4-30%depending on date"Nhe HyReply +Use mach:-J) as the actual primary key, not just id. machine id isa UUlDscreenpide generates per install — it changes on reinstall but stavs stable across regular use• Same install + new data: id keeps incrementing, machine id same. Composite kevuniauev identines each row.• Reinstall: new machine id, ids start at l again. (new machine id, 1) is distinct from(old machine id. 1). Both preserved on NAS• Tables that don't carry machine id in source (elements, ocr text) get it propagated fromframes at sync time via JOIN.The Mac-clean-NAS-keep workflowThis is what you actually asked about. Two scripts:Sync (run nightly via cron): copies new data from Mac→ NAS. Idempotent — alreadv-syncedrows are skinned because machine id. 1d contlicts.Prune (run weekly. manually): after verifving NAS has the data, DELETE FROM frames WHEREdate(timestamp) ‹ cutoff on Mac source. Same for elements, ocr_text, audio_chunks, etc.Then VACUUM to reclaim disk spaceThe crucial property: DELETE preserves sqlite_sequence .SQLite keeps the autoincrementcouinter even after voll de ete rows. So it vour last frame 1iD was 50.000 and voul de leteevervthing, the next frame still gets id=50.001 v ver reuses 1-50.000. No collisions withwhat s already on NASWrite a message…Opus 4.7 Adaptiveik tukas. ProCiaudo ic Aland can make mictakac Plence double-chock recnoncodNew Tab(Screenpipe - ArchiveAll docs - AFFiNE)am) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: db.sqlite(*SQLite Web: db.sqlite+ New Tabliblapp.screenpipe.lakylak.xyzScreenpipe (archive.db • 12323.6MENo session dataFRAMESSearchAPPSWork RenortlTimetableAl Summary100% S2• Mon 11 May 19:16:3810/ 05/ 2026UI EVENTSAUDIOWebsites Windows UI EventsACTIVE PERIOD (TIMES IN LOCAL TIMEZONE)No hrowcor IiPleSolit view: a better wav to multitaskRight click this tab and choose "Add Split View" to seeTry split view...
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FirefoxcalVIewHistorybookmarksProtllesToolsWindowm FirefoxcalVIewHistorybookmarksProtllesToolsWindowmeleScreenpipe sync script failing after recent migrationsQ, Chat= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBulgarian citizenship application proces:Dawarich location tracking projectKecentsHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion@ How much have I spent for groc…Code dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locaticViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitledg Screen pipe. Is there ability..SMB mount access inconsistency betwea What is the hect switch IcanLast swimming outing with DaniDefinition of incarceratedclear it every now and then on Mac but still be able to access it on NAS. Howwould doItThe issueYour archive's tables don't have proper primary keys. The script created them with CREATETABLE AS SELECT * FROM source WHERE 0 , which copies columns but drops PRIMARY KEY.unou.constraints. andAUONCKoM oNir.s0• INSERT OR IGNORE had nothing to conflict on → silently inserted everything• Source id got copied as a plain integer column on NAS, with no uniqueness enforcement• When you reinstalled screenpipe May 6, source IDs reset to 1. Your NAS now has two rowswith id=100 - one from April 14, one from May 8 - that are entirely difterent captures• JOIN queries on frame id cross-match between eras, inflating element counts by 4-30%depending on date"Nhe HyReply +Use mach:-J) as the actual primary key, not just id. machine id isa UUlDscreenpide generates per install — it changes on reinstall but stavs stable across regular use• Same install + new data: id keeps incrementing, machine id same. Composite kevuniauev identines each row.• Reinstall: new machine id, ids start at l again. (new machine id, 1) is distinct from(old machine id. 1). Both preserved on NAS• Tables that don't carry machine id in source (elements, ocr text) get it propagated fromframes at sync time via JOIN.The Mac-clean-NAS-keep workflowThis is what you actually asked about. Two scripts:Sync (run nightly via cron): copies new data from Mac→ NAS. Idempotent — alreadv-syncedrows are skinned because machine id. 1d contlicts.Prune (run weekly. manually): after verifving NAS has the data, DELETE FROM frames WHEREdate(timestamp) ‹ cutoff on Mac source. Same for elements, ocr_text, audio_chunks, etc.Then VACUUM to reclaim disk spaceThe crucial property: DELETE preserves sqlite_sequence .SQLite keeps the autoincrementcouinter even after voll de ete rows. So it vour last frame 1iD was 50.000 and voul de leteevervthing, the next frame still gets id=50.001 v ver reuses 1-50.000. No collisions withwhat s already on NASWrite a message…Opus 4.7 Adaptiveik tukas. ProCiaudo ic Aland can make mictakac Plence double-chock recnoncodNew Tab(Screenpipe - ArchiveAll docs - AFFiNE)am) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: db.sqlite(*SQLite Web: db.sqlite+ New Tabliblapp.screenpipe.lakylak.xyzScreenpipe (archive.db • 12323.6MENo session dataFRAMESSearchAPPSWork RenortlTimetableAl Summary100% S2• Mon 11 May 19:16:3810/ 05/ 2026UI EVENTSAUDIOWebsites Windows UI EventsACTIVE PERIOD (TIMES IN LOCAL TIMEZONE)No hrowcor IiPleSolit view: a better wav to multitaskRight click this tab and choose "Add Split View" to seeTry split view...
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New Tab
New Tab
Screenpipe — Archive
Screenpipe — New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Close tab
SQLite Web: db.sqlite
SQLite Web: db.sqlite
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
sqlite-web 0.7.2
sqlite-web 0.7.2
db.sqlite
db.sqlite
Query
Query
table name...
_sqlx_migrations
_sqlx_migrations
audio_chunks
audio_chunks
audio_tags
audio_tags
audio_transcriptions
audio_transcriptions
audio_transcriptions_fts (v)
audio_transcriptions_fts
(v)
audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
audio_transcriptions_...
elements
elements
elements_fts (v)
elements_fts
(v)
elements_fts_config
elements_fts_config
elements_fts_data
elements_fts_data
elements_fts_idx
elements_fts_idx
frames
frames
frames_fts (v)
frames_fts
(v)
frames_fts_config
frames_fts_config
frames_fts_data
frames_fts_data
frames_fts_idx
frames_fts_idx
meetings
meetings
memories
memories
memories_fts (v)
memories_fts
(v)
memories_fts_config
memories_fts_config
memories_fts_data
memories_fts_data
memories_fts_idx
memories_fts_idx
ocr_text
ocr_text
pipe_executions
pipe_executions
pipe_scheduler_state
pipe_scheduler_state
secrets
secrets
speaker_embeddings
speaker_embeddings
speakers
speakers
sqlite_sequence
sqlite_sequence
sqlite_stat1
sqlite_stat1
sqlite_stat4
sqlite_stat4
tags
tags
ui_events
ui_events
ui_events_fts (v)
ui_events_fts
(v)
ui_events_fts_config
ui_events_fts_config
ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
vision_tags
vision_tags
Toggle helper tables
Toggle helper tables
Sqlite
3.51.3
Filename
/data/db.sqlite
read-only...
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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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:16:38Describe 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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:16:38Describe 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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Sqlite
3.51.3
Filename
/data/db.sqlite
read-only
Size
2.4 GB
Created
Sunday May 10, 2026 at 11:47:AM
Modified
Sunday May 10, 2026 at 11:45:AM
Tables
46
Indexes
65
Triggers
15
Views
0
Sqlite
Filename
Size
Created
Modified
Tables
Indexes
Triggers
Views
3.51.3
/data/db.sqlite
read-only
2.4 GB
Sunday May 10, 2026 at 11:47:AM
Sunday May 10, 2026 at 11:45:AM
46
65
15
0
Query
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Query
Query
table name...
elements
elements
elements_fts (v)
elements_fts
(v)
elements_fts_config
elements_fts_config
elements_fts_data
elements_fts_data
elements_fts_idx
elements_fts_idx
frames
frames
frames_fts (v)
frames_fts
(v)
frames_fts_config
frames_fts_config
frames_fts_data
frames_fts_data
frames_fts_idx
frames_fts_idx
meetings
meetings
ocr_text
ocr_text
ui_events
ui_events
ui_events_fts (v)
ui_events_fts
(v)
ui_events_fts_config
ui_events_fts_config
ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
Toggle helper tables
Toggle helper tables
Sqlite
3.51.3
Filename
/data/archive.db
read-only
Size
12.9 GB
Created
Sunday May 10, 2026 at 05:48:PM
Modified
Sunday May 10, 2026 at 05:48:PM
Tables
22
Indexes
14
Triggers
0
Views
0
Sqlite
Filename
Size
Created
Modified
Tables
Indexes
Triggers
Views
3.51.3
/data/archive.db
read-only
12.9 GB
Sunday May 10, 2026 at 05:48:PM
Sunday May 10, 2026 at 05:48:PM
22
14
0
0
Query
Query
Execute SQL query...
Execute
SQLite database browser
v0.7.2
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. © 2026
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Charles Leifer
db.screenpipe.lakylak.xyz/elements/...
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NULL
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NULL
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NULL
|
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20783
|
903
|
20
|
2026-05-11T16:16:47.272998+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516207272_m2.jpg...
|
Firefox
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SQLite Web: archive.db — Personal
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New Tab
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sqlite-web 0.7.2
archive.db
archive.db
elements
Query
Query
table name...
elements
elements
elements_fts (v)
elements_fts
(v)
elements_fts_config
elements_fts_config
elements_fts_data
elements_fts_data
elements_fts_idx
elements_fts_idx
frames
frames
frames_fts (v)
frames_fts
(v)
frames_fts_config
frames_fts_config
frames_fts_data
frames_fts_data
frames_fts_idx
frames_fts_idx
meetings
meetings
ocr_text
ocr_text
ui_events
ui_events
ui_events_fts (v)
ui_events_fts
(v)
ui_events_fts_config
ui_events_fts_config
ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
Toggle helper tables
Toggle helper tables
Structure
Structure
Content
Content
Query
Query
Export
Export
SQL
SQL
CREATE
TABLE
elements
(
id
INT
,
frame_id
INT
,
source
TEXT
,
role
TEXT
,
text
TEXT
,
parent_id
INT
,
depth
INT
,
left_bound
REAL
,
top_bound
REAL
,
width_bound
REAL
,
height_bound
REAL
,
confidence
REAL
,
sort_order
INT
,
properties
TEXT
,
on_screen
INTEGER
DEFAULT
NULL
)
Columns
Columns
Column
Data type
Allow null
Primary key
Actions
id
INT
✓
read-only
frame_id
INT
✓
read-only
source
TEXT
✓
read-only
role
TEXT
✓
read-only
text
TEXT
✓
read-only
parent_id
INT
✓
read-only
depth
INT
✓
read-only
left_bound
REAL
✓
read-only
top_bound
REAL
✓
read-only
width_bound
REAL
✓
read-only
height_bound
REAL
✓
read-only
confidence
REAL
✓
read-only
sort_order
INT
✓
read-only
properties
TEXT
✓
read-only
on_screen
INTEGER
✓
read-only
Column
id
frame_id
source
role
text
parent_id
depth
left_bound
top_bound
width_bound
height_bound
confidence
sort_order
properties
on_screen
Data type
INT
INT
TEXT
TEXT
TEXT
INT
INT
REAL
REAL
REAL
REAL
REAL
INT
TEXT
INTEGER
Allow null
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Primary key
Actions
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
read-only
Indexes
Indexes
Name
Columns
Unique
SQL
Drop?
idx_elements_frame_id
frame_id
SQL
SQL
read-only
idx_elements_frame_src_role
frame_id
source
role
SQL
SQL
read-only
idx_elements_onscreen_frame
frame_id
SQL
SQL
read-only
Name
idx_elements_frame_id
idx_elements_frame_src_role
idx_elements_onscreen_frame
Columns
frame_id
frame_id
source
role
frame_id
Unique
SQL
SQL
SQL
SQL
SQL
SQL
SQL
Drop?
read-only
read-only
read-only
SQLite database browser
v0.7.2
, powered by
Flask
Flask
and
Peewee
Peewee
. © 2026
Charles Leifer
Charles Leifer
db.screenpipe.lakylak.xyz/elements/...
|
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Indexes
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Name
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Unique
SQL
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idx_elements_frame_id
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read-only
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frame_id
source
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read-only
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read-only
Name
idx_elements_frame_id
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idx_elements_onscreen_frame
Columns
frame_id
frame_id
source
role
frame_id
Unique
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SQL
SQL
SQL
SQL
SQL
SQL
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sqlite-web 0.7.2
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elements
Query
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elements
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elements_fts (v)
elements_fts
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elements_fts_config
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elements_fts_data
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elements_fts_idx
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frames
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-5884568563160658997
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New Tab
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Query
Query
table name...
elements
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elements_fts (v)
elements_fts
(v)
elements_fts_config
elements_fts_config
elements_fts_data
elements_fts_data
elements_fts_idx
elements_fts_idx
frames
frames
frames_fts (v)...
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NULL
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NULL
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NULL
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NULL
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20786
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903
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22
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2026-05-11T16:16:50.320442+00:00
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meetings
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VIRTUAL
TABLE
elements_fts
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role
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frame_id
UNINDEXED
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content
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content_rowid
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SQL
Drop?
Name
Columns
Unique
SQL
Drop?
SQLite database browser
v0.7.2
, powered by
Flask
Flask
and
Peewee
Peewee
. © 2026
Charles Leifer
Charles Leifer
db.screenpipe.lakylak.xyz/elements_fts/...
|
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Query
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Toggle helper tables
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Structure
Structure
Content
Content
Query
Query
Export
Export
SQL
SQL
CREATE
VIRTUAL
TABLE
elements_fts
USING
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elements_fts
Query
Query
table name...
elements
elements
elements_fts (v)
elements_fts
(v)
elements_fts_config
elements_fts_config
elements_fts_data
elements_fts_data
elements_fts_idx
elements_fts_idx
frames
frames
frames_fts (v)
frames_fts
(v)
frames_fts_config
frames_fts_config
frames_fts_data
frames_fts_data
frames_fts_idx
frames_fts_idx
meetings
meetings
ocr_text
ocr_text
ui_events
ui_events
ui_events_fts (v)
ui_events_fts
(v)
ui_events_fts_config
ui_events_fts_config
ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
Toggle helper tables
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Structure
Structure
Content
Content
Query
Query
Export
Export
SQL
SQL
CREATE
VIRTUAL
TABLE
elements_fts
USING
fts5
(
text
,
role
,
frame_id
UNINDEXED
,
content
=
'elements'
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=
'id'
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=
'unicode61'
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Columns
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Column
Data type
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text
✓
read-only
role
✓
read-only
frame_id...
|
NULL
|
NULL
|
NULL
|
NULL
|
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20789
|
903
|
24
|
2026-05-11T16:16:53.360669+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516213360_m2.jpg...
|
Firefox
|
SQLite Web: archive.db — Personal
|
1
|
db.screenpipe.lakylak.xyz/frames/
|
monitor_2
|
NULL
|
NULL
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NULL
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NULL
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frames
Query
Query
table name...
elements
elements
elements_fts (v)
elements_fts
(v)
elements_fts_config
elements_fts_config
elements_fts_data
elements_fts_data
elements_fts_idx
elements_fts_idx
frames
frames
frames_fts (v)
frames_fts
(v)
frames_fts_config
frames_fts_config
frames_fts_data
frames_fts_data
frames_fts_idx
frames_fts_idx
meetings
meetings
ocr_text
ocr_text
ui_events
ui_events
ui_events_fts (v)
ui_events_fts
(v)
ui_events_fts_config
ui_events_fts_config
ui_events_fts_data
ui_events_fts_data
ui_events_fts_idx
ui_events_fts_idx
video_chunks
video_chunks
Toggle helper tables
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Structure
Structure
Content
Content
Query
Query
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SQL
SQL
CREATE
TABLE
frames
(
id
INT
,
video_chunk_id
INT
,
offset_index
INT
,
timestamp
NUM
,
name
TEXT
,
app_name
TEXT
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focused
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TEXT
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INT
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TEXT
✓
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INTEGER
✓
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accessibility_redaction_version
INTEGER
✓
read-only
image_redacted_at
INTEGER
✓
read-only
image_redaction_version
INTEGER
✓
read-only
image_redaction_regions
INTEGER
✓
read-only
Column
id
video_chunk_id
offset_index
timestamp
name
app_name
window_name
focused
browser_url
device_name
sync_id
machine_id
synced_at
snapshot_path
accessibility_text
accessibility_tree_json...
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Query
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20791
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|
Firefox
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SQLite Web: archive.db — Personal
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1
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db.screenpipe.lakylak.xyz/frames/content/
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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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All docs · AFFiNE
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96749 rows, showing page 1
Query
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Toggle helper tables
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Structure
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Query
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Export
Export
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Screenpipe — Archive
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Screenpipe — Archive
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All docs · AFFiNE
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Screenpipe — Archive
Screenpipe — Archive
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sqlite-web 0.7.2
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Screenpipe — Archive
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Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
SQLite Web: archive.db
Close tab
SQLite Web: db.sqlite
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
sqlite-web 0.7.2
sqlite-web 0.7.2
archive.db
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Toggle helper tables
Structure
Structure
Content
Content
Query
Query
Export
Export
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2026-04-14T06:23:20.487451+00:00
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Screenpipe — Archive
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96749 rows, showing page 1
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2026-04-14T06:23:20.487451+00:00
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2026-05-11T16:17:17.603775+00:00
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New Tab
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Screenpipe — Archive
Screenpipe — New Tab
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Screenpipe — Archive
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All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
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archive.db
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96749 rows, showing page 1
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Query
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Export
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accessibility_redacted_at
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accessibility_redaction_version
accessibility_redaction_version
image_redacted_at
image_redacted_at
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image_redaction_version
image_redaction_regions
image_redaction_regions
8037
152
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2026-04-14T06:23:20.487451+00:00
/Users/lukas/.screenpipe/data/data/2026-04-14/1776
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Slack
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8038
153
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2026-04-14T06:23:20.994555+00:00
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8039
153
1
2026-04-14T06:23:23.730853+00:00
/Users/lukas/.screenpipe/data/data/2026-04-14/1776
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96749 rows, showing page 1
Query
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Structure
Structure
Content
Content
Query
Query
Export
Export
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simhash
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2026-05-11T16:17:18.858014+00:00
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💬 How much have I spent for groc…
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April 2026 spending by category
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Clean shot x video recording termination issue...
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3313989506268918348
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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 19:17:18Describe 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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💬 Screen pipe. Is there ability…...
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rireroxVIewHistorybookmarksProtllesToolsWindowmelpScreenpipe sync script failing after recent migrations0, Chat1- Cowork+ New chatã 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...April 2026 spending by categoryCode dift reviewHubSpot rate limit imolementation strateScreenpipe retention policy code locatioViewing retention policy in screenpipeclean snot x video recoraing terminaticHubSpot rate limit handling with executeUntitledaScreen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..rermission deniea on screenpipe volumScreenpipe sync database attachment eLast swimming outing with DaniDefinition of incarcerated• source 1a 8ol copiea as a plam mteger coramin onnão, miulno aniqueness emorcement• When you reinstalled screenpipe May 6, source IDs reset to 1. Your NAS now has two rowswith id=100 - onefrom April 14, one from May 8 - that are entirely different captures• JOIN queries on frame_id cross-match between eras, inflating element counts by 4-30%depending on dateThe fixUse (machine_id, id) as the actual primary key, not just id. machine_id is a UUIDscreenpipe generates per install - it changes on reinstall but stays stable across regular use.• Same install + new data: id keeps incrementing, machine_id same. Composite keyumavev cerunes eaciurow.• Reinstall: new machine_id, ids start at 1 again. (new _machine_id, 1) is distinct from(old machine id. 1). Both preserved on NAS• Tables that don't carry machine_id in source (elements, ocr_text) get it propagated fromframes at sync time via JOIN.The Mac-clean-NAS-keep workflowThis is what you actually asked about. Two scripts:Sync (run nightly via cron): copies new data from Mac → NAS. Idempotent - already-syncedrows are skinned because machine 1d. id contliets.Prune (run weekly, manually): after verifying NAS has the data, DELETE FROM frames WHEREdate(timestamo) ‹ cutoff on Mac source Same for elements. ocr text. audio chunks. etcThen VACUUM to reclaim disk space.The crucial property: DELETE preserves sqlite_sequence . SQLite keeps the autoincrementcounter even after vou de ete rows. So it vour last trame liD was 50.000 and vou de leteeverything, the next frame still gets id=50,001 - never reuses 1-50,000. No collisions withwhar'sareadv on NAsConcretely, your weekly rhythm becomes:1. Capture continuously all week (no change)2. Cron syncs to NAS nightly (no change)3. Sunday: run screenpipe_prune.sh 2026-05-04 (or whatever cutoff). Verifies NAScoverage. del etes anvthing olderrrom Mac4. Mac disk reclaimed, NAS keeps growing, IDs stay monotonic, no collisions ever.The only thing that breaks this is reinstalling se*npipe (deleting ~/.screenpipe/ entirely).And even that's fine — composite PK absorbs it * anly, you just get a new machine id era inthe archiveWrite a message…Opus 4.7 Adaptive vlK Lukas. ProCiaudo ic Aland can make mictakas Plesce double-chock racnoncoc)New Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8New Tab(* Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tab, 50 lal100% C2&• Mon 11 May 19:17:18db.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_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 timestamp8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/datadata/2026-04-14/1776app_name window_name focused browser_url NULLSlack2026-04-14706:23:20.994555÷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/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/2026-04-14/1776NULLaleam9229970ndananlearellNULUlukas/.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 -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitoonA5 manan...
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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...
|
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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"}]...
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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...
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2026-05-11T16:17:50.334133+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516270334_m1.jpg...
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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...
|
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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. 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"}]...
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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...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
20799
|
903
|
31
|
2026-05-11T16:17:52.603886+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516272603_m2.jpg...
|
Claude
|
Claude
|
1
|
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
Give positive feedback
Give negative feedback
Retry
You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
Copy
Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
Copy
Give positive feedback
Give negative feedback
Retry
You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to...
|
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button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open sidebar","depth":21,"bounds":{"left":0.47340426,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.48537233,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"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. 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The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". 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Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"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: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for 2026-05-07 — should now succeed, with the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Reconciling NAS schema with source","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"step adding the missing columns to your existing 10G archive in one shot.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"From May 7 forward","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", queries against the NAS will see populated","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to","depth":26,"on_screen":false,"role_description":"text"}]...
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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).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync
for 2026-05-07 — should now succeed, with the
Reconciling NAS schema with source
step adding the missing columns to your existing 10G archive in one shot.
From May 7 forward
, queries against the NAS will see populated
document_path
and
on_screen
data. The new daily prompt will start producing useful file-level breakdowns; for backfilled days where those columns are NULL, it falls back to...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
20800
|
902
|
23
|
2026-05-11T16:18:20.689225+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516300689_m1.jpg...
|
Claude
|
Claude
|
1
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
Retry
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at...
|
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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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Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secret","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your setup, this maps well because:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"}]...
|
216224210507067065
|
2751663886010385426
|
idle
|
accessibility
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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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).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at...
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20798
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NULL
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NULL
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NULL
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20801
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903
|
32
|
2026-05-11T16:18:23.179465+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516303179_m2.jpg...
|
Claude
|
Claude
|
1
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NULL
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monitor_2
|
NULL
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NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
Retry
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
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Open Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
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:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync...
|
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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},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"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: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. 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Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. 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I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"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: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. 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If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"bash","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"sqlite3 /Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<<","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'SQL'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_frames_document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON frames(document_path) WHERE document_path IS NOT NULL;","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SQL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Note on the second index: a plain index on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frame_id","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for join performance, and complements rather than replaces your existing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_elements_frame_src_role","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Yes, add to the script for fresh installs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Yes, add to the script for fresh installs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In the \"creating indexes\" heredoc in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", add these two lines alongside the existing ones:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edited a file, ran a command","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Edited a file, ran a command","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"On a fresh machine, the flow is:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"clones the source schema (so the columns appear automatically), and then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Updated daily activity summary prompt","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Updated daily activity summary prompt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Summary of what to do, in order","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Summary of what to do, in order","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": run the two","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE INDEX","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"statements above against","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/Volumes/screenpipe/archive.db","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sub-second since both are partial indexes on currently-empty conditions).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replace your existing script","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with the patched","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— it has both the schema-drift handling from before and the two new indexes baked in.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Run a test sync","depth":27,"on_screen":false,"role_description":"text"}]...
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9090339073770046482
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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:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
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:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
Copy to clipboard
bash
sqlite3 /Volumes/screenpipe/archive.db
<<
'SQL'
CREATE INDEX IF NOT EXISTS idx_frames_document_path
ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS idx_elements_onscreen_frame
ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
SQL
Note on the second index: a plain index on
on_screen
alone is useless (boolean = 2 distinct values, low selectivity). The composite-partial form is what you actually want — it pre-filters to visible elements with text, anchored on
frame_id
for join performance, and complements rather than replaces your existing
idx_elements_frame_src_role
.
Yes, add to the script for fresh installs
Yes, add to the script for fresh installs
In the "creating indexes" heredoc in
screenpipe_sync.sh
, add these two lines alongside the existing ones:
Edited a file, ran a command
Edited a file, ran a command
On a fresh machine, the flow is:
CREATE TABLE IF NOT EXISTS ... AS SELECT * FROM main.frames WHERE 0
clones the source schema (so the columns appear automatically), and then
CREATE INDEX IF NOT EXISTS
builds the partial indexes — both effectively no-ops since fresh data populates as it syncs. So yes, the patched script handles fresh installs correctly without further intervention.
Updated daily activity summary prompt
Updated daily activity summary prompt
This uses both new columns, falls back gracefully for old data, and keeps the Europe/Sofia timezone conversion you already have.
Created a file, read a file
Created a file, read a file
Summary of what to do, in order
Summary of what to do, in order
Now
: run the two
CREATE INDEX
statements above against
/Volumes/screenpipe/archive.db
(sub-second since both are partial indexes on currently-empty conditions).
Replace your existing script
with the patched
screenpipe_sync.sh
— it has both the schema-drift handling from before and the two new indexes baked in.
Run a test sync...
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hybrid
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NULL
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ClaudecalVIeWWindow•• е0, Chat:= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® How much have I spent for groc...April 2026 spending by categoryCode dift reviewScreenpipe retention policy code locatiolViewing retention policy in screenpipeclean snot x video recoraing terminatiorHubSpot rate limit handling with executeUntitledaScreen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Screenpipe sync database attachment eLast swimming outing with Dan, 50 lal100% C28• Mon 11 May 19:18:32Screenpipe sync script failing after recent migrationsbut how would that work with frames.id = 1 and all data there frame_id isforeign key? If I reinstall the frames-id will start from 1 again.Write a message…Opus 4.7 Adaptive v•••D+→с* New Tab• db.screenpipe.lakylak.xyz/frames/content/sqlite-web 0.7.2archive.db frames 96749 rows, showing page 1(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8€ New Tab@ Screenpipe - Archive@ SQLite Web: archive.db x@ SQLite Web: db.sqlite4 New Taltable name…elementselements 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 timestampname8037 1522026-04-14T06:23:20.487451+00:00Users/lukas/.screenpipe/data/data/2026-04-14/1776app name window name Tocused browser url NULLSlack2026-04-14706:23:20.994555÷00:00 /Users/|Slacklukas/.screenpipe/data/2026-04-14/17762026-04-14T06:23:23.730853+00:00/Users/ukas/.screenpineldataldata/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/2026-04-14/1776NULL?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 -SlackNULLNULLNULLINULINULLNULLNULLNULLNULLNULLNULLNULLdevicemonitomonitomonitomonitomonitomonitomonitcmonitomonitomonitolK Lukas. ProClaude is Al and can make mistakes. Please double-check responses....
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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...
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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...
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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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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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:18:36Describe 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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanev&o VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:18:36Describe 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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FirefoxVIewMistorbookmarksProtllesToolsWindowmelp•..•• github.com/jimNew TabOpenJY-20725 add HS rate limit handling on activities rematching #12066LakyLak wants to merge 4 commits into master trom JY-26125-handle-HS-search-rate-L1m1t• Jy 20820 es reindex stream mode0.0% Duplication on New Code4 [JY-20725] [HubSpot] Optimise CFSee analvsis details on SonarQube CloudSevenShores Hubspot ExceptionsJY-20725 add HS rate limit har XPipelines - jiminny/apPull requests • jiminny/app- New Tab• @ Jy-20725 code review suggestionsInis oranch nas not veen cemloveoReview reauiredAt least 1 approving review is required by reviewers with write access.some checks naven t complered ver'1 oendina. 1 in orodress. 1 exoected. 9 successtul checksZ pending checksv• 0 ci/circleci: sonar_cloud Waiting for status to be reported — CircleCl is running your tests• A SonarCloud Code Analvsis Expected — Waiting for status to be reported1 in nroaroce chock v• o build accept deplov Started 14 minutes aao — Workflow: build accept deplov/ 0 ci/circleci: build-backend — Your tests passed on CircleCl!0 cilcircleci: build-frontend — Your tests nassed on CircleCl!Thic hranch ic out.of-aato with tha haco hranchMerge the latest changes from master into this branch. This merge commit will beaccociated with I akvl akMerging is blockedAt least 1 anorovina review is reauired bv reviewers with write access.Enable auto-meraeYou can also merge this with the command line. View command line instructions.• 0f3e438Uindate branchStill in nroaress? Convert to draftAdd a commont|vent.php$1+123hihl100% L2P• Mon 11 May 19:18:38= laravel.logA SF [jiminny@localhost]4 HS_local [jiminny@localhost]A console [PROD]« console [EU]& console [STAGING]"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEs0kXi ~07-May-26 14:51:15 GMT: domain=.hubapi.com: Http0nly: Secure: SameSite=None"].w19A"keporc-10".""endpoints":N"urL\":1"https:(VNVa.net.cloudf Lare.com\V/report\V/v4?s=NYALsVTPotYm52qrSDJxYE4sd2RwRq15p5wHsmd=g<Lz@YdxLx2B1XVpHmsKnS0%2BKVA5mF1J2m/YRECD65nx2BW2LYT206FM4%2l v("groupl"; \"cf-nel!","max age":604800,"J,"success traction".0.olg"max ade":6048002""Serven":"cloudflare"?>4"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab","trace id"."c7ab8365-903f-46d4-9403-0e5b551e3545"}1 differencecurrent version'driver' => 'errorlog','level' => env('LOG LEVEL', 'info')'path' => storage path('loas/laravel.10g')custom channel' =>nath' => storage pathc'Loas/custom.1o0'))W Windsurf Teams 1'1UTF.Rfo 4 spaces 0...
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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]
Show options
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
3 hours ago
3 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...
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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 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
3 hours ago
3 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...
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2026-05-11T16:18:44.257908+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516324257_m2.jpg...
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faVsco.js – HandleHubspotRateLimitTest.php
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
Start Listening for PHP Debug Connections
HandleHubspotRateLimitTest
Run 'HandleHubspotRateLimitTest'
Debug 'HandleHubspotRateLimitTest'
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<?php
declare(strict_types=1);
namespace Tests\Unit\Jobs\Middleware;
use Exception;
use Illuminate\Contracts\Queue\Job;
use Illuminate\Support\Facades\Log;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Jobs\Middleware\HandleHubspotRateLimit;
use PHPUnit\Framework\Attributes\CoversClass;
use PHPUnit\Framework\Attributes\DataProvider;
use PHPUnit\Framework\MockObject\MockObject;
use Tests\TestCase;
#[CoversClass(HandleHubspotRateLimit::class)]
class HandleHubspotRateLimitTest extends TestCase
{
private HandleHubspotRateLimit $middleware;
protected function setUp(): void
{
parent::setUp();
$this->middleware = new HandleHubspotRateLimit();
}
public function testPassesThroughWhenNoExceptionThrown(): void
{
$job = $this->createMock(Job::class);
$job->expects($this->never())->method('release');
$called = false;
$next = function (object $passed) use ($job, &$called): void {
$this->assertSame($job, $passed);
$called = true;
};
$this->middleware->handle($job, $next);
$this->assertTrue($called);
}
public function testPropagatesNonRateLimitExceptions(): void
{
$job = $this->createMock(Job::class);
$job->expects($this->never())->method('release');
$next = static function (): void {
throw new Exception('Database is down');
};
$this->expectException(Exception::class);
$this->expectExceptionMessage('Database is down');
$this->middleware->handle($job, $next);
}
/**
* @return array<string, array{retryAfter: int, expectedMin: int, expectedMax: int}>
*/
public static function delayClampingProvider(): array
{
return [
'short retry passes through' => [
'retryAfter' => 1,
'expectedMin' => 1,
'expectedMax' => 6, // 1 + 5 jitter
],
'medium retry passes through' => [
'retryAfter' => 30,
'expectedMin' => 30,
'expectedMax' => 35, // 30 + 5 jitter
],
'large retry clamped to 600s max' => [
'retryAfter' => 86400,
'expectedMin' => 600,
'expectedMax' => 605, // 600 + 5 jitter
],
];
}
#[DataProvider('delayClampingProvider')]
public function testReleasesJobWithClampedDelay(int $retryAfter, int $expectedMin, int $expectedMax): void
{
Log::shouldReceive('info')->zeroOrMoreTimes();
/** @var Job&MockObject $job */
$job = $this->createMock(Job::class);
$job->method('attempts')->willReturn(1);
$job->expects($this->once())
->method('release')
->with($this->callback(static function (int $delay) use ($expectedMin, $expectedMax): bool {
return $delay >= $expectedMin && $delay <= $expectedMax;
}));
$next = static function () use ($retryAfter): void {
throw new RateLimitException('rate limited', $retryAfter);
};
$this->middleware->handle($job, $next);
}
/**
* @return array<string, array{attempts: int, shouldLog: bool}>
*/
public static function logSamplingProvider(): array
{
return [
'first attempt logs' => ['attempts' => 1, 'shouldLog' => true],
'second attempt logs' => ['attempts' => 2, 'shouldLog' => true],
'third attempt logs' => ['attempts' => 3, 'shouldLog' => true],
'fourth attempt skipped' => ['attempts' => 4, 'shouldLog' => false],
'ninth attempt skipped' => ['attempts' => 9, 'shouldLog' => false],
'tenth attempt logs (multiple of 10)' => ['attempts' => 10, 'shouldLog' => true],
'eleventh attempt skipped' => ['attempts' => 11, 'shouldLog' => false],
'twentieth attempt logs' => ['attempts' => 20, 'shouldLog' => true],
];
}
#[DataProvider('logSamplingProvider')]
public function testLogSampling(int $attempts, bool $shouldLog): void
{
if ($shouldLog) {
Log::shouldReceive('info')
->once()
->with(
'[HandleHubspotRateLimit] Rate limit caught, releasing job with delay',
$this->callback(static function (array $context) use ($attempts): bool {
return $context['attempts'] === $attempts
&& $context['retry_after'] === 1
&& isset($context['delay']);
})
);
} else {
Log::shouldReceive('info')->never();
}
/** @var Job&MockObject $job */
$job = $this->createMock(Job::class);
$job->method('attempts')->willReturn($attempts);
$job->expects($this->once())->method('release');
$next = static function (): void {
throw new RateLimitException('rate limited', 1);
};
$this->middleware->handle($job, $next);
}
}
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Previous Highlighted Error
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
Project
Project...
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'HandleHubspotRateLimitTest'","depth":6,"bounds":{"left":0.9268617,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"bounds":{"left":0.9381649,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"bounds":{"left":0.96609044,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search 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Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Tests\\Unit\\Jobs\\Middleware;\n\nuse Exception;\nuse Illuminate\\Contracts\\Queue\\Job;\nuse Illuminate\\Support\\Facades\\Log;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Jobs\\Middleware\\HandleHubspotRateLimit;\nuse PHPUnit\\Framework\\Attributes\\CoversClass;\nuse PHPUnit\\Framework\\Attributes\\DataProvider;\nuse PHPUnit\\Framework\\MockObject\\MockObject;\nuse Tests\\TestCase;\n\n#[CoversClass(HandleHubspotRateLimit::class)]\nclass HandleHubspotRateLimitTest extends TestCase\n{\n private HandleHubspotRateLimit $middleware;\n\n protected function setUp(): void\n {\n parent::setUp();\n\n $this->middleware = new HandleHubspotRateLimit();\n }\n\n public function testPassesThroughWhenNoExceptionThrown(): void\n {\n $job = $this->createMock(Job::class);\n $job->expects($this->never())->method('release');\n\n $called = false;\n $next = function (object $passed) use ($job, &$called): void {\n $this->assertSame($job, $passed);\n $called = true;\n };\n\n $this->middleware->handle($job, $next);\n\n $this->assertTrue($called);\n }\n\n public function testPropagatesNonRateLimitExceptions(): void\n {\n $job = $this->createMock(Job::class);\n $job->expects($this->never())->method('release');\n\n $next = static function (): void {\n throw new Exception('Database is down');\n };\n\n $this->expectException(Exception::class);\n $this->expectExceptionMessage('Database is down');\n\n $this->middleware->handle($job, $next);\n }\n\n /**\n * @return array<string, array{retryAfter: int, expectedMin: int, expectedMax: int}>\n */\n public static function delayClampingProvider(): array\n {\n return [\n 'short retry passes through' => [\n 'retryAfter' => 1,\n 'expectedMin' => 1,\n 'expectedMax' => 6, // 1 + 5 jitter\n ],\n 'medium retry passes through' => [\n 'retryAfter' => 30,\n 'expectedMin' => 30,\n 'expectedMax' => 35, // 30 + 5 jitter\n ],\n 'large retry clamped to 600s max' => [\n 'retryAfter' => 86400,\n 'expectedMin' => 600,\n 'expectedMax' => 605, // 600 + 5 jitter\n ],\n ];\n }\n\n #[DataProvider('delayClampingProvider')]\n public function testReleasesJobWithClampedDelay(int $retryAfter, int $expectedMin, int $expectedMax): void\n {\n Log::shouldReceive('info')->zeroOrMoreTimes();\n\n /** @var Job&MockObject $job */\n $job = $this->createMock(Job::class);\n $job->method('attempts')->willReturn(1);\n $job->expects($this->once())\n ->method('release')\n ->with($this->callback(static function (int $delay) use ($expectedMin, $expectedMax): bool {\n return $delay >= $expectedMin && $delay <= $expectedMax;\n }));\n\n $next = static function () use ($retryAfter): void {\n throw new RateLimitException('rate limited', $retryAfter);\n };\n\n $this->middleware->handle($job, $next);\n }\n\n /**\n * @return array<string, array{attempts: int, shouldLog: bool}>\n */\n public static function logSamplingProvider(): array\n {\n return [\n 'first attempt logs' => ['attempts' => 1, 'shouldLog' => true],\n 'second attempt logs' => ['attempts' => 2, 'shouldLog' => true],\n 'third attempt logs' => ['attempts' => 3, 'shouldLog' => true],\n 'fourth attempt skipped' => ['attempts' => 4, 'shouldLog' => false],\n 'ninth attempt skipped' => ['attempts' => 9, 'shouldLog' => false],\n 'tenth attempt logs (multiple of 10)' => ['attempts' => 10, 'shouldLog' => true],\n 'eleventh attempt skipped' => ['attempts' => 11, 'shouldLog' => false],\n 'twentieth attempt logs' => ['attempts' => 20, 'shouldLog' => true],\n ];\n }\n\n #[DataProvider('logSamplingProvider')]\n public function testLogSampling(int $attempts, bool $shouldLog): void\n {\n if ($shouldLog) {\n Log::shouldReceive('info')\n ->once()\n ->with(\n '[HandleHubspotRateLimit] Rate limit caught, releasing job with delay',\n $this->callback(static function (array $context) use ($attempts): bool {\n return $context['attempts'] === $attempts\n && $context['retry_after'] === 1\n && isset($context['delay']);\n })\n );\n } else {\n Log::shouldReceive('info')->never();\n }\n\n /** @var Job&MockObject $job */\n $job = $this->createMock(Job::class);\n $job->method('attempts')->willReturn($attempts);\n $job->expects($this->once())->method('release');\n\n $next = static function (): void {\n throw new RateLimitException('rate limited', 1);\n };\n\n $this->middleware->handle($job, $next);\n }\n}","depth":4,"bounds":{"left":0.122340426,"top":0.17158818,"width":0.43085107,"height":0.8284118},"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Tests\\Unit\\Jobs\\Middleware;\n\nuse Exception;\nuse Illuminate\\Contracts\\Queue\\Job;\nuse Illuminate\\Support\\Facades\\Log;\nuse Jiminny\\Exceptions\\RateLimitException;\nuse Jiminny\\Jobs\\Middleware\\HandleHubspotRateLimit;\nuse PHPUnit\\Framework\\Attributes\\CoversClass;\nuse PHPUnit\\Framework\\Attributes\\DataProvider;\nuse PHPUnit\\Framework\\MockObject\\MockObject;\nuse Tests\\TestCase;\n\n#[CoversClass(HandleHubspotRateLimit::class)]\nclass HandleHubspotRateLimitTest extends TestCase\n{\n private HandleHubspotRateLimit $middleware;\n\n protected function setUp(): void\n {\n parent::setUp();\n\n $this->middleware = new HandleHubspotRateLimit();\n }\n\n public function testPassesThroughWhenNoExceptionThrown(): void\n {\n $job = $this->createMock(Job::class);\n $job->expects($this->never())->method('release');\n\n $called = false;\n $next = function (object $passed) use ($job, &$called): void {\n $this->assertSame($job, $passed);\n $called = true;\n };\n\n $this->middleware->handle($job, $next);\n\n $this->assertTrue($called);\n }\n\n public function testPropagatesNonRateLimitExceptions(): void\n {\n $job = $this->createMock(Job::class);\n $job->expects($this->never())->method('release');\n\n $next = static function (): void {\n throw new Exception('Database is down');\n };\n\n $this->expectException(Exception::class);\n $this->expectExceptionMessage('Database is down');\n\n $this->middleware->handle($job, $next);\n }\n\n /**\n * @return array<string, array{retryAfter: int, expectedMin: int, expectedMax: int}>\n */\n public static function delayClampingProvider(): array\n {\n return [\n 'short retry passes through' => [\n 'retryAfter' => 1,\n 'expectedMin' => 1,\n 'expectedMax' => 6, // 1 + 5 jitter\n ],\n 'medium retry passes through' => [\n 'retryAfter' => 30,\n 'expectedMin' => 30,\n 'expectedMax' => 35, // 30 + 5 jitter\n ],\n 'large retry clamped to 600s max' => [\n 'retryAfter' => 86400,\n 'expectedMin' => 600,\n 'expectedMax' => 605, // 600 + 5 jitter\n ],\n ];\n }\n\n #[DataProvider('delayClampingProvider')]\n public function testReleasesJobWithClampedDelay(int $retryAfter, int $expectedMin, int $expectedMax): void\n {\n Log::shouldReceive('info')->zeroOrMoreTimes();\n\n /** @var Job&MockObject $job */\n $job = $this->createMock(Job::class);\n $job->method('attempts')->willReturn(1);\n $job->expects($this->once())\n ->method('release')\n ->with($this->callback(static function (int $delay) use ($expectedMin, $expectedMax): bool {\n return $delay >= $expectedMin && $delay <= $expectedMax;\n }));\n\n $next = static function () use ($retryAfter): void {\n throw new RateLimitException('rate limited', $retryAfter);\n };\n\n $this->middleware->handle($job, $next);\n }\n\n /**\n * @return array<string, array{attempts: int, shouldLog: bool}>\n */\n public static function logSamplingProvider(): array\n {\n return [\n 'first attempt logs' => ['attempts' => 1, 'shouldLog' => true],\n 'second attempt logs' => ['attempts' => 2, 'shouldLog' => true],\n 'third attempt logs' => ['attempts' => 3, 'shouldLog' => true],\n 'fourth attempt skipped' => ['attempts' => 4, 'shouldLog' => false],\n 'ninth attempt skipped' => ['attempts' => 9, 'shouldLog' => false],\n 'tenth attempt logs (multiple of 10)' => ['attempts' => 10, 'shouldLog' => true],\n 'eleventh attempt skipped' => ['attempts' => 11, 'shouldLog' => false],\n 'twentieth attempt logs' => ['attempts' => 20, 'shouldLog' => true],\n ];\n }\n\n #[DataProvider('logSamplingProvider')]\n public function testLogSampling(int $attempts, bool $shouldLog): void\n {\n if ($shouldLog) {\n Log::shouldReceive('info')\n ->once()\n ->with(\n '[HandleHubspotRateLimit] Rate limit caught, releasing job with delay',\n $this->callback(static function (array $context) use ($attempts): bool {\n return $context['attempts'] === $attempts\n && $context['retry_after'] === 1\n && isset($context['delay']);\n })\n );\n } else {\n Log::shouldReceive('info')->never();\n }\n\n /** @var Job&MockObject $job */\n $job = $this->createMock(Job::class);\n $job->method('attempts')->willReturn($attempts);\n $job->expects($this->once())->method('release');\n\n $next = static function (): void {\n throw new RateLimitException('rate limited', 1);\n };\n\n $this->middleware->handle($job, $next);\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.042220745,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.27027926,"top":1.0,"width":0.008643617,"height":0.0},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"19","depth":4,"bounds":{"left":0.96276593,"top":0.07581804,"width":0.009640957,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.9740692,"top":0.074221864,"width":0.00731383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"bounds":{"left":0.98138297,"top":0.074221864,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","depth":4,"on_screen":true,"value":"[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {\n\"headers\":{\n\"Date\":[\"Thu,07 May 2026 14:21:15 GMT\"],\n \"Content-Type\":[\"application/json;charset=utf-8\"],\n \"Transfer-Encoding\":[\"chunked\"],\n \"Connection\":[\"keep-alive\"],\n \"CF-Ray\":[\"9f80deb8db60dc3a-SOF\"],\n \"CF-Cache-Status\":[\"DYNAMIC\"],\n \"Strict-Transport-Security\":[\"max-age=31536000; includeSubDomains; preload\"],\n \"Vary\":[\"origin,\n accept-encoding\"],\n \"access-control-allow-credentials\":[\"false\"],\n \"server-timing\":[\"hcid;desc=\\\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\\\",\n cfr;desc=\\\"9f80deb8e7c6dc3a-IAD\\\"\"],\n \"x-content-type-options\":[\"nosniff\"],\n \"x-hubspot-correlation-id\":[\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\"],\n \"Set-Cookie\":[\"__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-1.0.1.1-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,\n 07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None\"],\n \"Report-To\":[\"{\n\\\"endpoints\\\":[{\n\\\"url\\\":\\\"https:\\\\/\\\\/a.nel.cloudflare.com\\\\/report\\\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\\\"}],\n\\\"group\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"NEL\":[\"{\n\\\"success_fraction\\\":0.01,\n\\\"report_to\\\":\\\"cf-nel\\\",\n\\\"max_age\\\":604800}\"],\n\"Server\":[\"cloudflare\"]}} {\n\"correlation_id\":\"95236535-ec98-4541-b92a-adfa73b69eab\",\n\"trace_id\":\"c7ab8365-903f-46d4-9403-0e5b551e3545\"}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"bounds":{"left":0.011968086,"top":0.047885075,"width":0.024268618,"height":0.024740623},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-6372110567994871844
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-7141563512795309432
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visual_change
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accessibility
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NULL
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Project: faVsco.js, menu
JY-20725-handle-HS-search Project: faVsco.js, menu
JY-20725-handle-HS-search-rate-limit, menu
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HandleHubspotRateLimitTest
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Debug 'HandleHubspotRateLimitTest'
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<?php
declare(strict_types=1);
namespace Tests\Unit\Jobs\Middleware;
use Exception;
use Illuminate\Contracts\Queue\Job;
use Illuminate\Support\Facades\Log;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Jobs\Middleware\HandleHubspotRateLimit;
use PHPUnit\Framework\Attributes\CoversClass;
use PHPUnit\Framework\Attributes\DataProvider;
use PHPUnit\Framework\MockObject\MockObject;
use Tests\TestCase;
#[CoversClass(HandleHubspotRateLimit::class)]
class HandleHubspotRateLimitTest extends TestCase
{
private HandleHubspotRateLimit $middleware;
protected function setUp(): void
{
parent::setUp();
$this->middleware = new HandleHubspotRateLimit();
}
public function testPassesThroughWhenNoExceptionThrown(): void
{
$job = $this->createMock(Job::class);
$job->expects($this->never())->method('release');
$called = false;
$next = function (object $passed) use ($job, &$called): void {
$this->assertSame($job, $passed);
$called = true;
};
$this->middleware->handle($job, $next);
$this->assertTrue($called);
}
public function testPropagatesNonRateLimitExceptions(): void
{
$job = $this->createMock(Job::class);
$job->expects($this->never())->method('release');
$next = static function (): void {
throw new Exception('Database is down');
};
$this->expectException(Exception::class);
$this->expectExceptionMessage('Database is down');
$this->middleware->handle($job, $next);
}
/**
* @return array<string, array{retryAfter: int, expectedMin: int, expectedMax: int}>
*/
public static function delayClampingProvider(): array
{
return [
'short retry passes through' => [
'retryAfter' => 1,
'expectedMin' => 1,
'expectedMax' => 6, // 1 + 5 jitter
],
'medium retry passes through' => [
'retryAfter' => 30,
'expectedMin' => 30,
'expectedMax' => 35, // 30 + 5 jitter
],
'large retry clamped to 600s max' => [
'retryAfter' => 86400,
'expectedMin' => 600,
'expectedMax' => 605, // 600 + 5 jitter
],
];
}
#[DataProvider('delayClampingProvider')]
public function testReleasesJobWithClampedDelay(int $retryAfter, int $expectedMin, int $expectedMax): void
{
Log::shouldReceive('info')->zeroOrMoreTimes();
/** @var Job&MockObject $job */
$job = $this->createMock(Job::class);
$job->method('attempts')->willReturn(1);
$job->expects($this->once())
->method('release')
->with($this->callback(static function (int $delay) use ($expectedMin, $expectedMax): bool {
return $delay >= $expectedMin && $delay <= $expectedMax;
}));
$next = static function () use ($retryAfter): void {
throw new RateLimitException('rate limited', $retryAfter);
};
$this->middleware->handle($job, $next);
}
/**
* @return array<string, array{attempts: int, shouldLog: bool}>
*/
public static function logSamplingProvider(): array
{
return [
'first attempt logs' => ['attempts' => 1, 'shouldLog' => true],
'second attempt logs' => ['attempts' => 2, 'shouldLog' => true],
'third attempt logs' => ['attempts' => 3, 'shouldLog' => true],
'fourth attempt skipped' => ['attempts' => 4, 'shouldLog' => false],
'ninth attempt skipped' => ['attempts' => 9, 'shouldLog' => false],
'tenth attempt logs (multiple of 10)' => ['attempts' => 10, 'shouldLog' => true],
'eleventh attempt skipped' => ['attempts' => 11, 'shouldLog' => false],
'twentieth attempt logs' => ['attempts' => 20, 'shouldLog' => true],
];
}
#[DataProvider('logSamplingProvider')]
public function testLogSampling(int $attempts, bool $shouldLog): void
{
if ($shouldLog) {
Log::shouldReceive('info')
->once()
->with(
'[HandleHubspotRateLimit] Rate limit caught, releasing job with delay',
$this->callback(static function (array $context) use ($attempts): bool {
return $context['attempts'] === $attempts
&& $context['retry_after'] === 1
&& isset($context['delay']);
})
);
} else {
Log::shouldReceive('info')->never();
}
/** @var Job&MockObject $job */
$job = $this->createMock(Job::class);
$job->method('attempts')->willReturn($attempts);
$job->expects($this->once())->method('release');
$next = static function (): void {
throw new RateLimitException('rate limited', 1);
};
$this->middleware->handle($job, $next);
}
}
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19
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[2026-05-07 14:21:15] local.INFO: [Hubspot] DEBUG Getting headers {
"headers":{
"Date":["Thu,07 May 2026 14:21:15 GMT"],
"Content-Type":["application/json;charset=utf-8"],
"Transfer-Encoding":["chunked"],
"Connection":["keep-alive"],
"CF-Ray":["9f80deb8db60dc3a-SOF"],
"CF-Cache-Status":["DYNAMIC"],
"Strict-Transport-Security":["max-age=31536000; includeSubDomains; preload"],
"Vary":["origin,
accept-encoding"],
"access-control-allow-credentials":["false"],
"server-timing":["hcid;desc=\"019e02d0-6fd8-7812-bdba-885b7ccb3ee3\",
cfr;desc=\"9f80deb8e7c6dc3a-IAD\""],
"x-content-type-options":["nosniff"],
"x-hubspot-correlation-id":["019e02d0-6fd8-7812-bdba-885b7ccb3ee3"],
"Set-Cookie":["__cf_bm=SIUrtdQgXVrik50pdqF6hZVYKhzTnQBidvMabeCtm0Y-1778163675-[IP_ADDRESS]-rI.ZggtDKxTge5zr8_2gbBfWMQQ.ufZEXDZyHz2mBUFdzdo2gTHEsOkXMSEShjK0hGYxNhUGM1ZoBpX7BcFZcHEjA7Cs_.SMUhUnd2nYjko; path=/; expires=Thu,
07-May-26 14:51:15 GMT; domain=.hubapi.com; HttpOnly; Secure; SameSite=None"],
"Report-To":["{
\"endpoints\":[{
\"url\":\"https:\\/\\/a.nel.cloudflare.com\\/report\\/v4?s=NYAlsVTP0fYm32qrSDjxYE4sd2RWRqiSp3wHsmdEgZlzoYdxI%2BIxVpHmsKn3O%2BKVA3mFIJ2m7YRECDGSM%2BW2IYTzo6FM4%2BdUIjURO8srzKSvJgZ%2BQ6R79arKQw3uHLlX\"}],
\"group\":\"cf-nel\",
\"max_age\":604800}"],
"NEL":["{
\"success_fraction\":0.01,
\"report_to\":\"cf-nel\",
\"max_age\":604800}"],
"Server":["cloudflare"]}} {
"correlation_id":"95236535-ec98-4541-b92a-adfa73b69eab",
"trace_id":"c7ab8365-903f-46d4-9403-0e5b551e3545"}
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2026-05-11T16:18:47.239409+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516327239_m2.jpg...
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Claude
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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...
|
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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"},{"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"}]...
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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...
|
20807
|
NULL
|
NULL
|
NULL
|
|
20809
|
903
|
39
|
2026-05-11T16:18:59.546895+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516339546_m2.jpg...
|
Claude
|
Claude
|
1
|
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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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...
|
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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"},{"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"}]...
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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...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516349593_m1.jpg...
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Claude
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Claude
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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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:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
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
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt....
|
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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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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"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: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"}]...
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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:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
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
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt....
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516356819_m1.jpg...
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Dawarich location tracking project...
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[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Click to collapse","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘B","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to resize","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Collapse sidebar","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New chat ⌘N","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"New chat","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘N","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Projects","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Artifacts","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Customize","depth":15,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Pinned","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXButton","text":"Bulgarian citizenship application process for EU residents","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for Bulgarian citizenship application process for EU residents","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Dawarich location tracking project","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Bulgarian citizenship application process for EU residents
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Dawarich location tracking project
SlackFileEditViewGoHistoryWindowHelp•APP ()DOCKER€ 881DEV (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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:19:16Describe 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 APP5:35 PMDeployment Successful!Project: appWhen:05/11/202614:35:58Tag:View JobMessage #releases..•...
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Bulgarian citizenship application process for EU residents
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-5221351508805849111
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6777821198880100109
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click
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hybrid
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NULL
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Bulgarian citizenship application process for EU residents
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VIeWWindowmeltScreenpipe sync script failing after recent migrations0, Chat:= Cowork+ New chatã Projectso0 Arutacts₴ CustomizeBu garian cit zenshio apolication proces:Dawarich location tracking projectHubspot Badkequest headers debuggin.Screenpipe sunc script tailing after receiMonthly expense trackingEynorting transaction data from Notion® 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 terminaticHubSpot rate limit handling with executeUntitledaScreen oine. Is there ability.SMB mount access inconsistency betweWhat is the best switch I can..Last swimming outing with DaniDefinition of incarceratedbut how would that work with frames.id = 1 and all data there frame_id isforeign key? If I reinstall the frames-id will start from 1 again.Resolved referential integrity through composite key joins using machine id ›xacuv the right question to ask. Here's now it WorksThe foreign key isn't elements. frame_id → frames.id anymore. It's(elements.machine_id, elements.frame_id) (frames.machine_id, frames.id).The machine id is part of the lookup. not iust sitting alongside it. Let me walk through alconcrete example.Before reinstallSource frames (machine_id = A):id=1, timestamp=2026-04-14, app="PhpStorm"source elementsid=1, frame_id=1, text="hello"id=2, frame_id=1,texte"worldtSync script does this - note the JOIN to fetch machine_id at insert time:INSERT INTO nas.elements (id, machine_id, frame_id, text, ...)SELtCl e.1d, T.machine 1d, e.trame 1d. e.text. ...FROM main.elements eJoIN main. frames + ON e.frame 1d = f.1dWHERE date(f.timestamp) = '2026-04-14';So the NAS rows look like:plements.(machine_id=A, id=1, frame_id=1, "hello")(machine id=A. id=2. frame id=1. "world")framesmachine id=A. id=1. 2026-04-14)Write a message…Opus 4.7 AdaptivelK Lukas. ProClaude is Al and can make mistakes. Please double-check responses., 50 lal100% C28• Mon 11 May 19:19:16→CNew Tab(Screenpipe - ArchiveAll docs - AFFINEam) DXP4800PLUS-B5F8* New Tab@ Screenpipe - Archive@ SQLite Web: archive.db x(*SQLite Web: db.sqlite+ New Tab• 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 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/ukas/.screenpineldataldata/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/2026-04-14/1776NULL?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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Hubspot BadRequest headers debugging
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Screenpipe sync script failing after recent migrations
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Exporting transaction data from Notion to finance hub
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💬 How much have I spent for groc…
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SMB mount access inconsistency between Finder and iTerm
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Permission denied on screenpipe volume
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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 Vasilev. Nikolay IvanovAneliya Angelova, ...Stoyan Tanevo VesE. Lukas Kovalik y... O::: AppsS Jira CloudToast(abl100% <78• Mon 11 May 19:19:19Describe 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 APP5:35 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:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
Copy
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incarcerated","depth":19,"bounds":{"left":0.08577128,"top":0.6967279,"width":0.005984043,"height":0.014365523},"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,"bounds":{"left":0.005319149,"top":0.9696728,"width":0.038231384,"height":0.01915403},"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,"bounds":{"left":0.08510638,"top":0.9696728,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Screenpipe sync script failing after recent migrations, rename chat","depth":19,"bounds":{"left":0.10239362,"top":0.02793296,"width":0.119015954,"height":0.022346368},"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,"bounds":{"left":0.10372341,"top":0.031923383,"width":0.11635638,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.10372341,"top":0.031923383,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":53,"bounds":{"left":0.106715426,"top":0.031923383,"width":0.113696806,"height":0.014365523}}],"role_description":"text"},{"role":"AXPopUpButton","text":"More options for Screenpipe sync script failing after recent migrations","depth":19,"bounds":{"left":0.22174202,"top":0.02793296,"width":0.006981383,"height":0.022346368},"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,"bounds":{"left":0.47340426,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.48537233,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"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 ... 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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Now positional drift is structurally impossible.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me write the updated script.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Created a file, ran a command, read a file","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Created a file, ran a command, read a file","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What changed in the script","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What changed in the script","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three additions, everything else preserved:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Schema helpers","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns_with_types","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"table_exists","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") — pure bash + sqlite3 PRAGMA, no extra deps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"New \"Reconciling NAS schema with source\" step","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— runs after","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", before indexes/FTS/inserts. For each table in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SYNC_TABLES","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", it diffs source columns against NAS and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"s the missing ones. Output looks like:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: elements ✓ added 2: on_screen text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"schema: video_chunks ✓ added 1: evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in every INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"—","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"FRAMES_COLS=$(build_col_list frames)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"builds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"id\",\"timestamp\",\"app_name\",...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from source","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and the inserts use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.t (cols) SELECT cols FROM main.t","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What to expect on the next run","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What to expect on the next run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"First run after dropping it in: the \"Reconciling NAS schema with source\" step will print the missing columns it adds to your existing 10G archive (4 on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a few on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ocr_text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Each","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"One thing worth knowing","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"One thing worth knowing","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If Screenpipe ever","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drops","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"a column in source (rare but possible — they did","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop ui monitoring","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"drop dead fts tables","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"earlier), the NAS will still have it, and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"build_col_list","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(sourced from","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ... DROP COLUMN","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"View Screenpipe sync","depth":25,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Screenpipe sync","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SH","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Open Screenpipe sync","depth":26,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Open in iTerm","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: ok but given the changes introduced is there something I may actually use","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: ok but given the changes introduced is there something I may actually use","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ok but given the changes introduced is there something I may actually use","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"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: Good question.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Good question.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Cataloging PII redactor capabilities and security categories","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Cataloging PII redactor capabilities and security categories","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Evaluated four practical database columns for his specific workflow needs","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Evaluated four practical database columns for his specific workflow needs","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"frames.document_path — most useful for you","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"frames.document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— most useful for you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for IDE work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concrete uses given your stack:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily activity summary","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": instead of \"spent 2h in PhpStorm\", you can group by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and get \"spent 2h in","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"app/Http/Controllers/ReportsController.php","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\" — directly tied to the JY-20458 work.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ticket correlation","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path LIKE '%/reports/%'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to slice by feature area.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Replaces some of the","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LIKE '%JY-%'","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"fishing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": your hyphenated-token issue with FTS5 mostly comes up in OCR text. For \"what was I working on\",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"skips OCR entirely.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Worth adding an index on the NAS:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sql","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INDEX","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IF","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXISTS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"idx_frames_document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ON","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IS","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NOT","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"elements.on_screen — directly useful for the meeting detector","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"elements.on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— directly useful for the meeting detector","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"meeting-detector","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipeline:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Zoom's accessibility tree exposes","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"everyone","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on the call, including names in collapsed roster panels. Adding","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cuts the participant detector down to people whose name tile was actually rendered — much closer to \"who was visible during this segment\".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Cheap to add, big signal-to-noise win.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"PII redaction columns (text_redacted etc.) — useful but with caveats","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"PII redaction columns (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"etc.) — useful but with caveats","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The model behind these is","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secret","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your setup, this maps well because:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"rather than","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"reduces the blast radius if a prompt or tool result ends up somewhere unexpected.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Caveats worth knowing before flipping it on:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Probably opt-in.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe record --help","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for something like","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"--enable-pii-redaction","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Without enabling, the columns just stay NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Over-redacts on short strings","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"column for cases where you need ground truth.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Model license is CC BY-NC 4.0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical pattern: query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text_redacted","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"by default, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"text","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"only when you explicitly need the raw value.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"video_chunks.evicted_at — minor diagnostic value","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— minor diagnostic value","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more \"nice diagnostic\" than \"must-use\".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Skip these","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Skip these","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.cloud_blob_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can draft a small SQL migration for the NAS-side indexes (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and a tweaked version of your daily-activity-summary Claude Code prompt that uses","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for grouping. Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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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
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
Copy
Give positive feedback...
|
NULL
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NULL
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NULL
|
NULL
|
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20815
|
903
|
42
|
2026-05-11T16:19:50.020030+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778516390020_m2.jpg...
|
Claude
|
Claude
|
1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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:
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schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
Screenpipe sync
SH
Open Screenpipe sync
Open in iTerm
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
Edit
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
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sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
Edit
Copy
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open sidebar","depth":21,"bounds":{"left":0.47340426,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.48537233,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: after recent updated in screenpipe (find out what are these) I am unable to run script.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pasted Text, pasted, 353 lines","depth":21,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"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 ... 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Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. 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The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ensure_columns","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— before each insert, diff source vs NAS columns and run","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ALTER TABLE ADD COLUMN","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Explicit column lists in INSERT","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— never","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SELECT *","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"again. Build the column list dynamically from","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PRAGMA table_info(<table>)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO t (cols) SELECT cols FROM ...","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". 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Both are short.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: yes do it.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: yes do it.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"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: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Architected migration strategy, index optimization, and data continuity implications","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Architected migration strategy, index optimization, and data continuity implications","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What happens to older data","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What happens to older data","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Both columns will be","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for every row that's already in the archive. Screenpipe only started populating them on the migration dates (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 4,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on_screen","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from May 2 in source — for your archive, from whenever you first sync data captured after those dates).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Practical implications:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path = 'foo'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old rows. Same for","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE document_path IS NOT NULL","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— silently skips all old element rows (NULL is neither 1 nor 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE on_screen = 0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— also skips them (NULL ≠ 0).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So queries using these columns are implicitly forward-looking.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No backfill is possible","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"document_path","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"when present, fall back to","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"window_name","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for older data), use","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"COALESCE(document_path, window_name)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or an explicit branching CASE.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The partial indexes (with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"WHERE ... IS NOT NULL","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Run this now against the NAS archive","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Run this now against the NAS archive","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-7825827380390288695
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5057506344948106258
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visual_change
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accessibility
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NULL
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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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:
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table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:
ensure_columns
— before each insert, diff source vs NAS columns and run
ALTER TABLE ADD COLUMN
for any new ones. SQLite handles this as a metadata-only op, so it's instant even on your 10G archive.
Explicit column lists in INSERT
— never
SELECT *
again. Build the column list dynamically from
PRAGMA table_info(<table>)
and use
INSERT INTO t (cols) SELECT cols FROM ...
. Now positional drift is structurally impossible.
Bonus: dropped columns in future migrations will also be handled gracefully — the archive keeps the column with NULLs for new rows, no errors.
Let me write the updated script.
Created a file, ran a command, read a file
Created a file, ran a command, read a file
What changed in the script
What changed in the script
Three additions, everything else preserved:
Schema helpers
(
table_columns_with_types
,
table_columns
,
table_exists
,
ensure_columns
,
build_col_list
) — pure bash + sqlite3 PRAGMA, no extra deps.
New "Reconciling NAS schema with source" step
— runs after
CREATE TABLE IF NOT EXISTS
, before indexes/FTS/inserts. For each table in
SYNC_TABLES
, it diffs source columns against NAS and
ALTER TABLE ADD COLUMN
s the missing ones. Output looks like:
Copy to clipboard
schema: frames ✓ added 4: cloud_blob_id document_path image_redacted_path text_redacted
schema: elements ✓ added 2: on_screen text_redacted
schema: video_chunks ✓ added 1: evicted_at
Explicit column lists in every INSERT
—
FRAMES_COLS=$(build_col_list frames)
builds
"id","timestamp","app_name",...
from source
PRAGMA table_info
, and the inserts use
INSERT INTO nas.t (cols) SELECT cols FROM main.t
. No more positional mapping. Column names are double-quoted so any future hyphens or reserved-word columns won't break parsing.
What to expect on the next run
What to expect on the next run
First run after dropping it in: the "Reconciling NAS schema with source" step will print the missing columns it adds to your existing 10G archive (4 on
frames
, plus a few on
elements
/
video_chunks
/
ocr_text
). Each
ALTER TABLE ADD COLUMN
is a metadata-only op in SQLite — no table rewrite, no VACUUM needed, total cost should be sub-second even on the 10G file. Then 2026-05-07 will sync normally.
After that, when Screenpipe ships the next migration, your sync just picks up the new columns automatically. No more breakage.
One thing worth knowing
One thing worth knowing
If Screenpipe ever
drops
a column in source (rare but possible — they did
drop ui monitoring
and
drop dead fts tables
earlier), the NAS will still have it, and
build_col_list
(sourced from
main
) won't reference it. New rows will have NULL for the orphaned column, old rows keep their data. That's the right archival behavior — but if you ever want to actually drop those orphan columns from NAS, that's a manual
ALTER TABLE ... DROP COLUMN
which SQLite has supported since 3.35 (your macOS Tahoe ships 3.43+, and your NAS Docker SQLite is fine).
View Screenpipe sync
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You said: ok but given the changes introduced is there something I may actually use
You said: ok but given the changes introduced is there something I may actually use
ok but given the changes introduced is there something I may actually use
10 May
Retry
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Claude responded: Good question.
Claude responded: Good question.
Cataloging PII redactor capabilities and security categories
Cataloging PII redactor capabilities and security categories
Good question. Let me look at what these new columns actually do and which ones map to your setup, since not all of them are equal value for you.
Evaluated four practical database columns for his specific workflow needs
Evaluated four practical database columns for his specific workflow needs
Yeah, three of them are genuinely useful for your setup. The rest are cloud-sync plumbing you can ignore.
frames.document_path — most useful for you
frames.document_path
— most useful for you
Captures the path of the document/file open at frame time. This is a meaningful upgrade over relying on
app_name
+
window_name
for IDE work.
Concrete uses given your stack:
Daily activity summary
: instead of "spent 2h in PhpStorm", you can group by
document_path
and get "spent 2h in
app/Http/Controllers/ReportsController.php
" — directly tied to the JY-20458 work.
Ticket correlation
: branch names contain ticket IDs in PhpStorm window titles, but file paths are cleaner. Query
WHERE document_path LIKE '%/reports/%'
to slice by feature area.
Replaces some of the
LIKE '%JY-%'
fishing
: your hyphenated-token issue with FTS5 mostly comes up in OCR text. For "what was I working on",
document_path
skips OCR entirely.
Worth adding an index on the NAS:
Copy to clipboard
sql
CREATE
INDEX
IF
NOT
EXISTS
idx_frames_document_path
ON
frames
(
document_path
)
WHERE
document_path
IS
NOT
NULL
;
elements.on_screen — directly useful for the meeting detector
elements.on_screen
— directly useful for the meeting detector
This is a boolean for whether the element was actually visible (vs. in the accessibility tree but scrolled off / occluded / behind a collapsed panel).
For your
meeting-detector
pipeline:
Zoom's accessibility tree exposes
everyone
on the call, including names in collapsed roster panels. Adding
WHERE on_screen = 1
cuts the participant detector down to people whose name tile was actually rendered — much closer to "who was visible during this segment".
For daily summaries: weights time-on-element by visibility, so reading vs. having-a-tab-open look different.
Cheap to add, big signal-to-noise win.
PII redaction columns (text_redacted etc.) — useful but with caveats
PII redaction columns (
text_redacted
etc.) — useful but with caveats
The model behind these is
screenpipe/pii-redactor
, fine-tuned for accessibility trees, OCR'd screen text, and computer-use traces. Detects 12 categories including a
secret
class that catches passwords, API keys, JWTs, DB connection strings, and PRIVATE-KEY markers — exactly the stuff that leaks into your captures during Laravel/Salesforce/HubSpot dev work.
For your setup, this maps well because:
The NAS archive is the consumer, queried by Claude Code agentically. Pointing those queries at
text_redacted
rather than
text
reduces the blast radius if a prompt or tool result ends up somewhere unexpected.
Your Mac captures Jiminny customer data on every call. Redacted text is safer for archival queries that don't need exact content (which is most of them).
Caveats worth knowing before flipping it on:
Probably opt-in.
Migrations only added the columns; redaction itself almost certainly needs a flag (worth checking
screenpipe record --help
for something like
--enable-pii-redaction
). Without enabling, the columns just stay NULL.
Over-redacts on short strings
: ~8% on accessibility/window titles, ~16% on long-form. Bulgarian names + Slovak surnames in your genealogy notes will likely trigger false positives. Keep the unredacted
text
column for cases where you need ground truth.
Model license is CC BY-NC 4.0
— non-commercial only, so not suitable for anything Jiminny-business related; fine for personal use.
Practical pattern: query
text_redacted
by default, fall back to
text
only when you explicitly need the raw value.
video_chunks.evicted_at — minor diagnostic value
video_chunks.evicted_at
— minor diagnostic value
When the local retention policy prunes a chunk, this stamps the time. Given your 7-day retention + nightly sync to NAS, you could add a preflight check that warns if a chunk got evicted before its frames were synced (would mean you have frame metadata pointing to deleted video). Realistically your nightly sync at 3am is well inside the 7-day window, so this is more "nice diagnostic" than "must-use".
Skip these
Skip these
frames.cloud_blob_id
,
memories sync columns
— for the optional E2EE cloud sync feature. You self-host, you don't need them. Stays NULL.
If you want, I can draft a small SQL migration for the NAS-side indexes (
document_path
,
on_screen
) and a tweaked version of your daily-activity-summary Claude Code prompt that uses
document_path
for grouping. Both are short.
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You said: yes do it.
You said: yes do it.
yes do it. I want frames.document_path and elements.on_screen. Do I need to add it to the script as well (if running for the first time on new machine). But for archive.db on nas I need to add it now. Also what would be the effect on older data if don't have data there?
10 May
Retry
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Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Claude responded: Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt.
Architected migration strategy, index optimization, and data continuity implications
Architected migration strategy, index optimization, and data continuity implications
Three deliverables coming up: the immediate NAS migration, the script patch, and an updated daily-summary prompt. Plus a clean answer on the older-data question.
What happens to older data
What happens to older data
Both columns will be
NULL
for every row that's already in the archive. Screenpipe only started populating them on the migration dates (
document_path
from May 4,
on_screen
from May 2 in source — for your archive, from whenever you first sync data captured after those dates).
Practical implications:
WHERE document_path = 'foo'
— silently skips all old rows. Same for
WHERE document_path IS NOT NULL
.
WHERE on_screen = 1
— silently skips all old element rows (NULL is neither 1 nor 0).
WHERE on_screen = 0
— also skips them (NULL ≠ 0).
So queries using these columns are implicitly forward-looking.
No backfill is possible
— screenpipe didn't capture this signal at the time, the data simply doesn't exist for those moments. If you need a hybrid query (use
document_path
when present, fall back to
window_name
for older data), use
COALESCE(document_path, window_name)
or an explicit branching CASE.
The partial indexes (with
WHERE ... IS NOT NULL
) handle this elegantly — they ignore old rows entirely, so they stay small and only grow with new data.
Run this now against the NAS archive
Run this now against the NAS archive
Two partial indexes — they index only the rows that actually have data, so they're effectively instant on your 10G archive (currently zero qualifying rows):
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NULL
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