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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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Files
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Later
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More…
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1
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ai-chapter
alerts
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bugs
confusion-clinic
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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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FirefoxFileEditViewHistoryBookmarksProfilesCTools FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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*.php...
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Find in Files
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File mask:
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Auto
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Filter Search Results
Pin Window
Search History
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New Line
Match case
Words
Regex
Replace History
Replace
New Line
Preserve case
In Project
Module
Directory
Scope
Module
/Users/lukas/jiminny/app/app/Contracts/ES/Events
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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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faVsco.js – UpdateActivityElasticSearchDocumentCom faVsco.js – UpdateActivityElasticSearchDocumentCommand.php...
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PhpStorm
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faVsco.js – UpdateActivityElasticSearchDocumentCom faVsco.js – UpdateActivityElasticSearchDocumentCommand.php...
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Project: faVsco.js, menu
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Project: faVsco.js, menu
FirefoxFileEditViewHistor Project: faVsco.js, menu
FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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faVsco.js – UpdateActivityElasticSearchDocumentCom faVsco.js – UpdateActivityElasticSearchDocumentCommand.php...
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
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Code changed:...
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click
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hybrid
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
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FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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PhpStorm
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faVsco.js – UpdateActivityElasticSearchDocumentCom faVsco.js – UpdateActivityElasticSearchDocumentCommand.php...
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
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click
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hybrid
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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faVsco.js – UpdateActivityElasticSearchDocumentCom faVsco.js – UpdateActivityElasticSearchDocumentCommand.php...
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
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<?php
namespace Jiminny\Console\Commands\Activities;
use Illuminate\Console\Command;
use Illuminate\Contracts\Events\Dispatcher;
use Jiminny\Contracts\ES\Events\UpdateSingleEntity;
use Jiminny\Contracts\ES\UpdateTargetEnum;
use Jiminny\Models\Activity;
class UpdateActivityElasticSearchDocumentCommand extends Command
{
protected $signature = 'activity:update:es {activityId}';
protected $description = 'Update ES document synchronously';
public function __construct(private readonly Dispatcher $eventDispatcher)
{
parent::__construct();
}
public function handle(): void
{
$activityId = $this->argument('activityId');
$this->info("Searching for activity with: {$activityId}");
if (is_numeric($activityId)) {
$activity = Activity::find((int) $activityId);
} else {
$activity = Activity::where('uuid', \Jiminny\Traits\RequiresUUID::toOptimized($activityId))->first();
}
if (! $activity) {
$this->error("Activity with ID/UUID {$activityId} not found");
return;
}
$this->info("Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}");
$this->info('Sending activity for ES update...');
try {
$this->eventDispatcher->dispatch(
new UpdateSingleEntity(
entityId: $activity->getId(),
updateTarget: UpdateTargetEnum::ACTIVITY,
purpose: 'cli-command-activity-update-es',
isSyncEvent: true,
)
);
$this->info('Done.');
} catch (\Exception $e) {
$this->error('Failed to update ES: ' . $e->getMessage());
$this->error($e->getTraceAsString());
}
}
}...
|
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'AskJiminnyReportActivityServiceTest'","depth":6,"bounds":{"left":0.9268617,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"bounds":{"left":0.9381649,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"bounds":{"left":0.96609044,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search Everywhere","depth":5,"bounds":{"left":0.9773936,"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":"IDE and Project Settings","depth":5,"bounds":{"left":0.9886968,"top":0.019952115,"width":0.011303186,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.27027926,"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":"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":"AXStaticText","text":"7","depth":4,"bounds":{"left":0.38430852,"top":0.22426178,"width":0.0076462766,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"bounds":{"left":0.39361703,"top":0.22266561,"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":0.40093085,"top":0.22266561,"width":0.006981383,"height":0.018355945},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\nnamespace Jiminny\\Console\\Commands\\Activities;\n\nuse Illuminate\\Console\\Command;\nuse Illuminate\\Contracts\\Events\\Dispatcher;\nuse Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity;\nuse Jiminny\\Contracts\\ES\\UpdateTargetEnum;\nuse Jiminny\\Models\\Activity;\n\nclass UpdateActivityElasticSearchDocumentCommand extends Command\n{\n protected $signature = 'activity:update:es {activityId}';\n protected $description = 'Update ES document synchronously';\n\n public function __construct(private readonly Dispatcher $eventDispatcher)\n {\n parent::__construct();\n }\n\n public function handle(): void\n {\n $activityId = $this->argument('activityId');\n\n $this->info(\"Searching for activity with: {$activityId}\");\n\n if (is_numeric($activityId)) {\n $activity = Activity::find((int) $activityId);\n } else {\n $activity = Activity::where('uuid', \\Jiminny\\Traits\\RequiresUUID::toOptimized($activityId))->first();\n }\n\n if (! $activity) {\n $this->error(\"Activity with ID/UUID {$activityId} not found\");\n\n return;\n }\n\n $this->info(\"Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}\");\n $this->info('Sending activity for ES update...');\n\n try {\n $this->eventDispatcher->dispatch(\n new UpdateSingleEntity(\n entityId: $activity->getId(),\n updateTarget: UpdateTargetEnum::ACTIVITY,\n purpose: 'cli-command-activity-update-es',\n isSyncEvent: true,\n )\n );\n\n $this->info('Done.');\n } catch (\\Exception $e) {\n $this->error('Failed to update ES: ' . $e->getMessage());\n $this->error($e->getTraceAsString());\n }\n }\n}","depth":4,"bounds":{"left":0.1619016,"top":0.056664005,"width":0.31981382,"height":0.943336},"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Console\\Commands\\Activities;\n\nuse Illuminate\\Console\\Command;\nuse Illuminate\\Contracts\\Events\\Dispatcher;\nuse Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity;\nuse Jiminny\\Contracts\\ES\\UpdateTargetEnum;\nuse Jiminny\\Models\\Activity;\n\nclass UpdateActivityElasticSearchDocumentCommand extends Command\n{\n protected $signature = 'activity:update:es {activityId}';\n protected $description = 'Update ES document synchronously';\n\n public function __construct(private readonly Dispatcher $eventDispatcher)\n {\n parent::__construct();\n }\n\n public function handle(): void\n {\n $activityId = $this->argument('activityId');\n\n $this->info(\"Searching for activity with: {$activityId}\");\n\n if (is_numeric($activityId)) {\n $activity = Activity::find((int) $activityId);\n } else {\n $activity = Activity::where('uuid', \\Jiminny\\Traits\\RequiresUUID::toOptimized($activityId))->first();\n }\n\n if (! $activity) {\n $this->error(\"Activity with ID/UUID {$activityId} not found\");\n\n return;\n }\n\n $this->info(\"Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}\");\n $this->info('Sending activity for ES update...');\n\n try {\n $this->eventDispatcher->dispatch(\n new UpdateSingleEntity(\n entityId: $activity->getId(),\n updateTarget: UpdateTargetEnum::ACTIVITY,\n purpose: 'cli-command-activity-update-es',\n isSyncEvent: true,\n )\n );\n\n $this->info('Done.');\n } catch (\\Exception $e) {\n $this->error('Failed to update ES: ' . $e->getMessage());\n $this->error($e->getTraceAsString());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false}]...
|
6991099392518100610
|
-3950736144691193050
|
idle
|
accessibility
|
NULL
|
Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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Code changed:
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7
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Next Highlighted Error
<?php
namespace Jiminny\Console\Commands\Activities;
use Illuminate\Console\Command;
use Illuminate\Contracts\Events\Dispatcher;
use Jiminny\Contracts\ES\Events\UpdateSingleEntity;
use Jiminny\Contracts\ES\UpdateTargetEnum;
use Jiminny\Models\Activity;
class UpdateActivityElasticSearchDocumentCommand extends Command
{
protected $signature = 'activity:update:es {activityId}';
protected $description = 'Update ES document synchronously';
public function __construct(private readonly Dispatcher $eventDispatcher)
{
parent::__construct();
}
public function handle(): void
{
$activityId = $this->argument('activityId');
$this->info("Searching for activity with: {$activityId}");
if (is_numeric($activityId)) {
$activity = Activity::find((int) $activityId);
} else {
$activity = Activity::where('uuid', \Jiminny\Traits\RequiresUUID::toOptimized($activityId))->first();
}
if (! $activity) {
$this->error("Activity with ID/UUID {$activityId} not found");
return;
}
$this->info("Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}");
$this->info('Sending activity for ES update...');
try {
$this->eventDispatcher->dispatch(
new UpdateSingleEntity(
entityId: $activity->getId(),
updateTarget: UpdateTargetEnum::ACTIVITY,
purpose: 'cli-command-activity-update-es',
isSyncEvent: true,
)
);
$this->info('Done.');
} catch (\Exception $e) {
$this->error('Failed to update ES: ' . $e->getMessage());
$this->error($e->getTraceAsString());
}
}
}...
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Project: faVsco.js, menu
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<?php
namespace Jiminny\Console\Commands\Activities;
use Illuminate\Console\Command;
use Illuminate\Contracts\Events\Dispatcher;
use Jiminny\Contracts\ES\Events\UpdateSingleEntity;
use Jiminny\Contracts\ES\UpdateTargetEnum;
use Jiminny\Models\Activity;
class UpdateActivityElasticSearchDocumentCommand extends Command
{
protected $signature = 'activity:update:es {activityId}';
protected $description = 'Update ES document synchronously';
public function __construct(private readonly Dispatcher $eventDispatcher)
{
parent::__construct();
}
public function handle(): void
{
$activityId = $this->argument('activityId');
$this->info("Searching for activity with: {$activityId}");
if (is_numeric($activityId)) {
$activity = Activity::find((int) $activityId);
} else {
$activity = Activity::where('uuid', \Jiminny\Traits\RequiresUUID::toOptimized($activityId))->first();
}
if (! $activity) {
$this->error("Activity with ID/UUID {$activityId} not found");
return;
}
$this->info("Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}");
$this->info('Sending activity for ES update...');
try {
$this->eventDispatcher->dispatch(
new UpdateSingleEntity(
entityId: $activity->getId(),
updateTarget: UpdateTargetEnum::ACTIVITY,
purpose: 'cli-command-activity-update-es',
isSyncEvent: true,
)
);
$this->info('Done.');
} catch (\Exception $e) {
$this->error('Failed to update ES: ' . $e->getMessage());
$this->error($e->getTraceAsString());
}
}
}
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<?php
namespace Jiminny\Models;
use Carbon\Carbon;
use Database\Factories\ActivityFactory;
use DateTimeInterface;
use Exception;
use Illuminate\Contracts\Auth\Authenticatable;
use Illuminate\Database\Eloquent;
use Illuminate\Database\Eloquent\Attributes\Scope;
use Illuminate\Database\Eloquent\Builder;
use Illuminate\Database\Eloquent\Factories\Factory;
use Illuminate\Database\Eloquent\Factories\HasFactory;
use Illuminate\Database\Eloquent\Relations\BelongsTo;
use Illuminate\Database\Eloquent\Relations\BelongsToMany;
use Illuminate\Database\Eloquent\Relations\HasMany;
use Illuminate\Database\Eloquent\Relations\HasManyThrough;
use Illuminate\Database\Eloquent\Relations\HasOne;
use Illuminate\Database\Eloquent\SoftDeletes;
use Illuminate\Support\Collection;
use Illuminate\Support\Facades\Auth;
use InvalidArgumentException;
use Jiminny\Component\ElasticSearch;
use Jiminny\Component\MeetingBot;
use Jiminny\Component\Model\BitwiseFlagTrait;
use Jiminny\Component\PlaybackPage\Comments\Services\ActivityCommentService;
use Jiminny\Component\Sidekick\SidekickService;
use Jiminny\Component\Uuid\UuidAwareInterface;
use Jiminny\Component\Workflow;
use Jiminny\Contracts;
use Jiminny\Contracts\Crm\ProspectInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\Events\Activities\ActivityTypeUpdated;
use Jiminny\Events\Activities\ActivityUpdated;
use Jiminny\Events\Activities\ProspectUpdated;
use Jiminny\Events\Activities\StageUpdated;
use Jiminny\Events\Activities\StatusUpdated;
use Jiminny\Events\Activities\TitleUpdated;
use Jiminny\Exceptions\InvalidArgumentException as InvalidArgumentJiminnyException;
use Jiminny\Exceptions\LogicException;
use Jiminny\Exceptions\RuntimeException;
use Jiminny\Models;
use Jiminny\Models\Activity\ActivitySummaryLog;
use Jiminny\Models\Activity\ActivityUploadSetting;
use Jiminny\Models\Activity\AvailabilityNotification;
use Jiminny\Models\Activity\CoachRequest;
use Jiminny\Models\Activity\Comment;
use Jiminny\Models\Activity\Log;
use Jiminny\Models\Activity\Message;
use Jiminny\Models\Activity\Moment;
use Jiminny\Models\Activity\Note;
use Jiminny\Models\Activity\ParticipantSpeech;
use Jiminny\Models\Activity\Play;
use Jiminny\Models\Activity\Question;
use Jiminny\Models\Activity\Share;
use Jiminny\Models\Activity\Snapshot;
use Jiminny\Models\Activity\Stats;
use Jiminny\Models\Activity\SubscriptionSet;
use Jiminny\Models\Activity\TopicTrigger;
use Jiminny\Models\Activity\Transcription;
use Jiminny\Models\Calendar\CalendarEvent;
use Jiminny\Models\Crm\Configuration;
use Jiminny\Models\Crm\FieldData;
use Jiminny\Models\ElasticSearch\ActivityElasticSearchTrait;
use Jiminny\Models\Feature\FeatureEnum;
use Jiminny\Models\Participant\Connection;
use Jiminny\Models\Playlist\Activity as PlaylistActivity;
use Jiminny\Services\Activity\ActivityProviderRegistry;
use Jiminny\Services\Activity\Import\DataResolvers\UpdateCrmDataByStrategy;
use Jiminny\Services\Activity\Import\DataResolvers\UpdateCrmDataResolverFactory;
use Jiminny\Services\Activity\Import\DataResolvers\UpdateCrmDataResolverInterface;
use Jiminny\Traits\Enums;
use Jiminny\Traits\RequiresUUID;
use Jiminny\Utils\CurrencyFormatter;
use NumberFormatter;
use function in_array;
/**
* Jiminny\Models\Activity
*
* @property null|int $auto_score filled from ES hydrator, not in DB!
* @property-read Account|null $account
* @property-read CalendarEvent|null $calendarEvent
* @property-read Contact|null $contact
* @property-read Lead|null $lead
* @property-read Opportunity|null $opportunity
* @property-read Stage|null $stage
* @property int $id
* @property mixed|null $uuid
* @property string|null $source
* @property string|null $external_id
* @property string $provider
* @property string|null $location
* @property string|null $telephony_provider_id
* @property int|null $from_participant_id
* @property int|null $to_participant_id
* @property int|null $device_id
* @property string|null $type
* @property int|null $playbook_category_id
* @property int $user_id
* @property int|null $lead_id
* @property int|null $account_id
* @property int|null $contact_id
* @property int|null $opportunity_id
* @property int|null $stage_id
* @property string|null $value
* @property int|null $crm_configuration_id
* @property string|null $crm_provider_id
* @property string|null $language
* @property int|null $transcription_id
* @property int $duration
* @property string $status
* @property int|null $on_air
* @property int|null $calendar_event_id
* @property string $recording_state
* @property bool|null $recording_preference
* @property int $recording_reason_code
* @property int $summary_reminder_sent
* @property \Illuminate\Support\Carbon|null $log_reminder_sent_at
* @property \Illuminate\Support\Carbon|null $organizer_notified_at
* @property bool|null $has_recording_prompt
* @property bool $is_internal
* @property int $is_locked
* @property int $is_recording
* @property bool|null $is_processed
* @property bool $is_private
* @property bool $is_instant_invite
* @property string|null $poster_path
* @property string|null $summary
* @property string|null $title
* @property string|null $description
* @property \Illuminate\Support\Carbon|null $scheduled_start_time
* @property \Illuminate\Support\Carbon|null $scheduled_end_time
* @property \Illuminate\Support\Carbon|null $actual_start_time
* @property \Illuminate\Support\Carbon|null $actual_end_time
* @property int|null $uploaded_by
* @property \Illuminate\Support\Carbon|null $deleted_at
* @property \Illuminate\Support\Carbon|null $created_at
* @property \Illuminate\Support\Carbon|null $updated_at
* @property string|null $average_score
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant> $activeParticipants
* @property-read int|null $active_participants_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Scorecard\ActivityScorecardRuleTrigger> $activityScorecardRuleTriggers
* @property-read int|null $activity_scorecard_rule_triggers_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Scorecard\ActivityScorecardRule> $activityScorecardRules
* @property-read int|null $activity_scorecard_rules_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, AvailabilityNotification> $availabilityNotifications
* @property-read int|null $availability_notifications_count
* @property-read \Jiminny\Models\PlaybookCategory|null $category
* @property-read \Illuminate\Database\Eloquent\Collection<int, CoachRequest> $coachRequests
* @property-read int|null $coach_requests_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\CoachingFeedback> $coachingFeedbacks
* @property-read int|null $coaching_feedbacks_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Message> $coachingMessages
* @property-read int|null $coaching_messages_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Comment> $comments
* @property-read int|null $comments_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Connection> $connections
* @property-read int|null $connections_count
* @property-read Configuration|null $crm
* @property-read \Illuminate\Database\Eloquent\Collection<int, FieldData> $data
* @property-read int|null $data_count
* @property-read \Jiminny\Models\Device|null $device
* @property-read \Kalnoy\Nestedset\Collection<int, \Jiminny\Models\Playlist> $favoritePlaylists
* @property-read int|null $favorite_playlists_count
* @property-read \Jiminny\Models\Participant|null $from
* @property-read string|null $activity_title
* @property-read mixed $comment_count
* @property-read mixed $duration_for_humans
* @property-read string $duration_for_humans_short
* @property-read int $favorite_count
* @property-read mixed $favorites_count
* @property-read mixed $formatted_value
* @property-read string $id_string
* @property-read \Jiminny\Models\Participant|null $organizer
* @property-read mixed $play_count
* @property-read int|null $plays_count
* @property-read ?ProspectInterface $prospect
* @property-read string|null $prospect_name
* @property-read mixed $prospect_type
* @property-read mixed $share_count
* @property-read int|null $shares_count
* @property-read int|null $tracks_with_telephony_count
* @property-read int|null $visible_comments_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\CoachingFeedback> $latestCoachingFeedbacks
* @property-read int|null $latest_coaching_feedbacks_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Log> $logs
* @property-read int|null $logs_count
* @property-read \Jiminny\Models\Track|null $masterTrack
* @property-read \Illuminate\Database\Eloquent\Collection<int, Message> $messages
* @property-read int|null $messages_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Moment> $moments
* @property-read int|null $moments_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Note> $notes
* @property-read int|null $notes_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant\Share> $participantShares
* @property-read int|null $participant_shares_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, ParticipantSpeech> $participantSpeeches
* @property-read int|null $participant_speeches_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant\ParticipantStats> $participantStats
* @property-read int|null $participant_stats_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant> $participants
* @property-read int|null $participants_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, PlaylistActivity> $playlistActivities
* @property-read int|null $playlist_activities_count
* @property-read \Kalnoy\Nestedset\Collection<int, \Jiminny\Models\Playlist> $playlists
* @property-read int|null $playlists_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Play> $plays
* @property-read \Illuminate\Database\Eloquent\Collection<int, Question> $questions
* @property-read int|null $questions_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Session> $sessions
* @property-read int|null $sessions_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Share> $shares
* @property-read \Illuminate\Database\Eloquent\Collection<int, Snapshot> $snapshots
* @property-read int|null $snapshots_count
* @property-read Stats|null $stats
* @property-read \Jiminny\Models\Participant|null $to
* @property-read \Illuminate\Database\Eloquent\Collection<int, TopicTrigger> $topicTriggers
* @property-read int|null $topic_triggers_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Track> $tracks
* @property-read int|null $tracks_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Track> $tracksWithTelephony
* @property-read Transcription|null $transcription
* @property-read \Jiminny\Models\User $user
* @property-read \Illuminate\Database\Eloquent\Collection<int, Comment> $visibleComments
*
* @method static \Illuminate\Database\Eloquent\Collection<int, static> all($columns = ['*'])
* @method static \Jiminny\Component\Eloquent\Builder|Activity chunkByIdDesc($count, callable $callback, $column = null, $alias = null)
* @method static \Database\Factories\ActivityFactory factory(...$parameters)
* @method static \Illuminate\Database\Eloquent\Collection<int, static> get($columns = ['*'])
* @method static \Jiminny\Component\Eloquent\Builder|Activity heldBetween(\Carbon\Carbon $start, \Carbon\Carbon $end)
* @method static \Jiminny\Component\Eloquent\Builder|Activity idOrUuId($idOrUuid, bool $first = true)
* @method static \Jiminny\Component\Eloquent\Builder|Activity newModelQuery()
* @method static \Jiminny\Component\Eloquent\Builder|Activity newQuery()
* @method static Builder|Activity onlyTrashed()
* @method static \Jiminny\Component\Eloquent\Builder|Activity query()
* @method static \Jiminny\Component\Eloquent\Builder|Activity scheduledBetween(\Carbon\Carbon $start, \Carbon\Carbon $end)
* @method static \Jiminny\Component\Eloquent\Builder|Activity inOpenDeals()
* @method static \Jiminny\Component\Eloquent\Builder|Activity notInOpenDeals()
* @method static \Jiminny\Component\Eloquent\Builder|Activity forTeam(int $teamId)
* @method static \Jiminny\Component\Eloquent\Builder|Activity search(callable $searchQuery, $key = null, $sortByResults = true)
* @method static \Jiminny\Component\Eloquent\Builder|Activity uuid(string $uuid, bool $first = true)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereAccountId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereActualEndTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereActualStartTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereAverageScore($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCalendarEventId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereContactId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCreatedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCrmConfigurationId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCrmProviderId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDeletedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDescription($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDeviceId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDuration($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereFromParticipantId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereHasRecordingPrompt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsInstantInvite($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsInternal($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsLocked($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsPrivate($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsProcessed($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsRecording($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLanguage($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLeadId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLocation($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLogReminderSentAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereOnAir($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereOpportunityId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereOrganizerNotifiedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity wherePlaybookCategoryId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity wherePosterPath($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereProvider($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereRecordingPreference($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereRecordingReasonCode($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereRecordingState($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereScheduledEndTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereScheduledStartTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereSource($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereExternalId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereStageId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereStatus($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereSummary($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereSummaryReminderSent($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereTelephonyProviderId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereTitle($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereToParticipantId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereTranscriptionId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereType($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUpdatedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUploadedBy($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUserId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUuid($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereValue($value)
* @method static Builder|Activity withTrashed()
* @method static Builder|Activity withoutTrashed()
*
* @mixin \Eloquent
*/
class Activity extends Model implements
ElasticSearch\Contract\Searchable,
Workflow\Workflow\WorkflowAwareInterface,
Models\Contracts\ActivityContract,
Contracts\Model\ActivityInterface,
UuidAwareInterface
{
use HasFactory;
use Enums;
use SoftDeletes;
use RequiresUUID;
use BitwiseFlagTrait;
use ElasticSearch\Model\Searchable;
use ActivityElasticSearchTrait;
use Workflow\Workflow\WorkflowAware {
transitionTo as traitTransitionTo;
}
public const int FLAG_RECORDING_REASON_DEFAULT = 0;
// Recording Prompted but never started
public const int FLAG_RECORDING_REASON_COMPLIANCE_PROMPT = 1;
public const int FLAG_RECORDING_REASON_COMPLIANCE_RESUMED = 2;
public const int FLAG_RECORDING_REASON_NO_AUDIO = 3;
// Recording Disabled by Organization
public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT = 4;
// Recording was restricted to one-side recordings only
public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT_ONE_SIDE = 8;
// Recording was not started because it was internal and team setting disabled that.
public const int FLAG_RECORDING_REASON_TEAM_INTERNAL_DISABLED = 16;
// Recording was not started because it was internal and user setting disabled that.
public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED = 32;
// Recording was not started because user setting disabled automatic recording.
public const int FLAG_RECORDING_REASON_USER_AUTOMATIC_DISABLED = 64;
// Recording was not started because team setting disabled automatic recording.
public const int FLAG_RECORDING_REASON_TEAM_AUTOMATIC_DISABLED = 128;
// Recording was not started because user has overriden default.
public const int FLAG_RECORDING_REASON_PREFERENCE_OVERRIDE = 256;
// Recording was not started because they don't want internal, and this meeting was not scheduled/imported in time.
public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED_UNSCHEDULED = 512;
// Recording was not started because their team setting does excludes the meeting type.
public const int FLAG_RECORDING_REASON_UNSUPPORTED_TYPE = 1024;
// Recording was not started because the external provider disabled it (or recording is missing etc).
public const int FLAG_RECORDING_REASON_EXTERNALLY_DISABLED = 2048;
// Recording was stopped externally ("exit-meeting" Pusher event)
public const int FLAG_RECORDING_REASON_STOPPED_EXTERNALLY = 384;
// Recording couldn't be started due to Zoom hosting conflict error
public const int FLAG_RECORDING_REASON_HOSTING_CONFLICT = 448;
// meeting.failed event with reason code BOT_DENIED_FROM_LOBBY
public const int FLAG_RECORDING_REASON_MEETING_BOT_DENIED_FROM_LOBBY = 4096;
// meeting.failed event with reason code LOBBY_TIMEOUT
public const int FLAG_RECORDING_REASON_MEETING_BOT_LOBBY_TIMEOUT = 8192;
// meeting.failed event with reason code BOT_KICKED
public const int FLAG_RECORDING_REASON_MEETING_BOT_KICKED = 16384;
// meeting.failed event with reason code UNKNOWN
public const int FLAG_RECORDING_REASON_MEETING_BOT_UNKNOWN = 32768;
public const int FLAG_RECORDING_REASON_CONSENT_DENIED = 65536;
// Invalid meeting (e.g. URL is invalid, or the meeting is not found)
public const int FLAG_RECORDING_REASON_MEETING_BOT_INVALID = 131072;
// The host stopped the recording.
public const int FLAG_RECORDING_REASON_USER_STOPPED = 262144;
// Recording was not started because an alternative vendor disabled it (or overrode it).
public const int FLAG_RECORDING_REASON_VENDOR_OVERRIDE = 1048576;
// Login required meeting.failed code
public const int FLAG_RECORDING_REASON_LOGIN_REQUIRED = 524288;
// Password for meeting was not provided - meeting.failed code
public const int FLAG_RECORDING_REASON_MEETING_PASSWORD_NOT_PROVIDED = 2097152;
// meeting.failed - when the meeting is locked
public const int FLAG_RECORDING_REASON_MEETING_IS_LOCKED = 4194304;
// max recording duration reached
public const int FLAG_RECORDING_REASON_MAX_DURATION_REACHED = 8388608;
// recording size is too small
public const int FLAG_RECORDING_REASON_EMPTY_RECORDING = 16777216;
// meeting.failed - when bot is redirected to sign in page multiple times
public const int FLAG_RECORDING_REASON_MAX_RESTART_COUNT_IS_REACHED = 33554432;
// meeting.failed event with reason code CONNECTION_LOST
public const int FLAG_RECORDING_REASON_MEETING_BOT_CONNECTION_LOST = 67108864;
// recording is corrupted.
public const int FLAG_RECORDING_REASON_MEDIA_FILE_UNSUPPORTED_MIME_TYPE = 134217728;
// meeting ended in lobby
public const int FLAG_RECORDING_REASON_MEETING_ENDED_IN_LOBBY = 268435456;
// meeting not started
public const int FLAG_RECORDING_REASON_REASON_MEETING_NOT_STARTED = 536870912;
// unfinished zoom custom disclaimer
public const int FLAG_RECORDING_REASON_FEATURE_RULE_NOT_FOUND_ERROR = 1073741824;
// recording download failed - server error
public const int FLAG_RECORDING_REASON_SERVER_ERROR = 2147483648;
// recording download failed - client code 404
public const int FLAG_RECORDING_REASON_NOT_FOUND = 2147483649;
// recording download failed - client code 401, 403
public const int FLAG_RECORDING_REASON_ACCESS_DENIED = 2147483650;
// recording download failed - client code 429
public const int FLAG_RECORDING_REASON_TOO_MANY_REQUESTS = 2147483651;
// recording download failed - unknown client error
public const int FLAG_RECORDING_REASON_CLIENT_ERROR = 2147483652;
// recording download failed - unknown error
public const int FLAG_RECORDING_REASON_UNKNOWN_ERROR = 2147483653;
// It has been setup ahead of time through calendar
public const string STATUS_SCHEDULED = 'scheduled';
// It is awaiting audio.
public const string STATUS_PENDING = 'pending';
// Participant(s) dialed in, awaiting organizer.
public const string STATUS_RINGING = 'ringing';
// Call is in progress.
public const string STATUS_IN_PROGRESS = 'in-progress';
// It has ended.
public const string STATUS_COMPLETED = 'completed';
// Cancelled prior to starting.
public const string STATUS_CANCELLED = 'canceled';
public const string STATUS_DUPLICATED = 'duplicated'; // duplicated conference
public const string STATUS_STARTING_SOON = 'starting-soon';
public const string STATUS_BOT_CREATE_SENT = 'bot-create-sent';
public const string STATUS_BOT_INSTANCE_WORKER_ASSIGNED = 'worker-assigned';
public const string STATUS_BOT_INSTANCE_STARTED = 'bot-started';
// When bot instance is waiting in lobby
public const string STATUS_BOT_INSTANCE_WAITING_LOBBY = 'bot-waiting';
public const string STATUS_BUSY = 'busy';
public const string STATUS_NO_ANSWER = 'no-answer';
public const string STATUS_FAILED = 'failed'; // Used by SMS too
// SMS related
public const string STATUS_ACCEPTED = 'accepted';
public const string STATUS_QUEUED = 'queued';
public const string STATUS_SENDING = 'sending';
public const string STATUS_SENT = 'sent';
public const string STATUS_DELIVERED = 'delivered';
public const string STATUS_UNDELIVERED = 'undelivered';
public const string STATUS_RECEIVING = 'receiving';
public const string STATUS_RECEIVED = 'received';
public const string STATUS_RESENT = 'resent';
public const array SMS_STATUSES = [
Activity::STATUS_RECEIVED,
Activity::STATUS_SENT,
Activity::STATUS_DELIVERED,
];
public const array SOFT_PHONE_CONFERENCE_STATUSES = [
Activity::STATUS_IN_PROGRESS,
Activity::STATUS_COMPLETED,
];
// @todo refactor prefix from `TYPE_` to `CHANNEL_`
public const string TYPE_SOFTPHONE = 'softphone';
public const string TYPE_SOFTPHONE_INBOUND = 'softphone-inbound';
public const string TYPE_CONFERENCE = 'conference';
public const string TYPE_SMS_INBOUND = 'sms-inbound';
public const string TYPE_SMS_OUTBOUND = 'sms-outbound';
public const string TYPE_EMAIL_INBOUND = 'email-inbound';
public const string TYPE_EMAIL_OUTBOUND = 'email-outbound';
public const array CHANNELS = [
self::TYPE_SOFTPHONE,
self::TYPE_SOFTPHONE_INBOUND,
self::TYPE_CONFERENCE,
self::TYPE_SMS_INBOUND,
self::TYPE_SMS_OUTBOUND,
self::TYPE_EMAIL_INBOUND,
self::TYPE_EMAIL_OUTBOUND,
];
public const array PLAYABLE_CHANNELS = [
self::TYPE_SOFTPHONE,
self::TYPE_SOFTPHONE_INBOUND,
self::TYPE_CONFERENCE,
];
// Recording States
public const string RECORDING_OFF = 'off'; // Default state
public const string RECORDING_IN_PROGRESS = 'in-progress';
public const string RECORDING_PAUSED = 'paused';
public const string RECORDING_STOPPED = 'stopped'; // To never be resumed.
public const string RECORDING_RECORDED = 'recorded'; // At least some portion of it was recorded.
public const string RECORDING_FAILED = 'failed'; // Recording was attempted but failed for some reason.
// Live Stream States
public const int ON_AIR_DEFAULT = 0;
public const int ON_AIR_READY = 1;
public const int ON_AIR_PREPARING = 2;
public const int ON_AIR_STREAMING = 3;
public const int ON_AIR_FINISHED = 4;
public const int ON_AIR_NOT_STREAMED = 5;
public const int ON_AIR_ERROR = -1;
public const string SOURCE_GONG = 'gong';
public const string SOURCE_CHORUS = 'chorus';
public const string SOURCE_OUTLOOK = 'outlook';
public const string SOURCE_GOOGLE = 'google';
// Activity Providers
public const string PROVIDER_TWILIO = 'twilio'; // XXX: This is run via the Jiminny Provider.
public const string PROVIDER_OUTREACH = 'outreach';
public const string PROVIDER_ZOOM_BOT = 'zoom-bot';
public const string PROVIDER_SALESLOFT = 'salesloft';
public const string PROVIDER_GOOGLE = 'google';
public const string PROVIDER_AIRCALL = 'aircall';
public const string PROVIDER_JUSTCALL = 'justcall';
public const string PROVIDER_GOOGLE_MEET = 'google-meet';
public const string PROVIDER_GONG = 'gong';
public const string PROVIDER_HUBSPOT = 'hubspot';
public const string PROVIDER_CLOSE = 'close';
public const string PROVIDER_TEAMS = 'ms-teams';
public const string PROVIDER_SALESFORCE = 'salesforce';
public const string PROVIDER_GROOVE = 'groove';
public const string PROVIDER_XANT = 'xant';
public const string PROVIDER_OFFICE = 'office';
public const string PROVIDER_NATTERBOX = 'natterbox';
public const string PROVIDER_RINGCENTRAL = 'ringcentral';
public const string PROVIDER_RINGCENTRAL_VIDEO = 'ringcentral-video';
public const string PROVIDER_GOTOMEETING = 'go-to-meeting';
public const string PROVIDER_DEMODESK = 'demo-desk';
public const string PROVIDER_DIALPAD = 'dialpad';
public const string PROVIDER_ZOOM_PHONE = 'zoom-phone';
public const string PROVIDER_CLOUDCALL = 'cloudcall';
public const string PROVIDER_CLOUDCALL_US = 'cloudcall-us';
public const string PROVIDER_EIGHT_BY_EIGHT = 'eight-by-eight'; // "8x8" UK
public const string PROVIDER_EIGHT_BY_EIGHT_CA = 'eight-by-eight-ca'; // "8x8" Canada
public const string PROVIDER_EIGHT_BY_EIGHT_AP = 'eight-by-eight-ap'; // "8x8" Australia
public const string PROVIDER_EIGHT_BY_EIGHT_US_EAST = 'eight-by-eight-use'; // "8x8" US East
public const string PROVIDER_EIGHT_BY_EIGHT_US_WEST = 'eight-by-eight-usw'; // "8x8" US West
public const string PROVIDER_CONNECT_AND_SELL = 'connect-and-sell';
public const string PROVIDER_CLOUD_TALK = 'cloud-talk';
public const string PROVIDER_AMAZON_CONNECT = 'amazon-connect';
public const string PROVIDER_VONAGE = 'vonage';
public const string PROVIDER_MIGRATOR = 'migrator';
public const string PROVIDER_UPLOADER = 'uploader';
public const string PROVIDER_TALKDESK = 'talkdesk';
public const string PROVIDER_TWILIO_FLEX = 'twilio-flex';
public const string PROVIDER_TWILIO_FLEX_DIRECT = 'twilio-flex-direct';
public const string PROVIDER_TWILIO_VIDEO = 'twilio-video';
public const string PROVIDER_AVAYA = 'avaya';
public const string PROVIDER_TELUS = 'telus';
public const string PROVIDER_FIVE_NINE = 'five-nine';
public const string PROVIDER_APOLLO = 'apollo';
public const string PROVIDER_ORUM = 'orum';
public const string PROVIDER_BLOOBIRDS = 'bloobirds';
/**
* @const API_PROVIDERS
* A list of integrations that import calls via API instead of webhooks
*/
public const array API_PROVIDERS = [
self::PROVIDER_OUTREACH,
self::PROVIDER_SALESLOFT,
self::PROVIDER_HUBSPOT,
self::PROVIDER_GROOVE,
self::PROVIDER_XANT,
self::PROVIDER_NATTERBOX,
self::PROVIDER_CLOUDCALL,
self::PROVIDER_CLOUDCALL_US,
self::PROVIDER_EIGHT_BY_EIGHT,
self::PROVIDER_EIGHT_BY_EIGHT_CA,
self::PROVIDER_EIGHT_BY_EIGHT_AP,
self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,
self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,
self::PROVIDER_CONNECT_AND_SELL,
self::PROVIDER_CLOUD_TALK,
self::PROVIDER_AMAZON_CONNECT,
self::PROVIDER_VONAGE,
self::PROVIDER_TALKDESK,
self::PROVIDER_TWILIO_VIDEO,
self::PROVIDER_TWILIO_FLEX,
self::PROVIDER_TWILIO_FLEX_DIRECT,
self::PROVIDER_FIVE_NINE,
self::PROVIDER_APOLLO,
self::PROVIDER_ORUM,
self::PROVIDER_BLOOBIRDS,
self::PROVIDER_RINGCENTRAL,
self::PROVIDER_AVAYA,
self::PROVIDER_TELUS,
];
public const array FINITE_STATES = [
self::TYPE_SOFTPHONE => [
self::STATUS_COMPLETED,
self::STATUS_FAILED,
self::STATUS_NO_ANSWER,
self::STATUS_BUSY,
],
self::TYPE_SOFTPHONE_INBOUND => [
self::STATUS_COMPLETED,
self::STATUS_FAILED,
self::STATUS_NO_ANSWER,
self::STATUS_BUSY,
],
self::TYPE_CONFERENCE => self::FINITE_STATES_CONFERENCE,
];
public const array FINITE_STATES_CONFERENCE = [
self::STATUS_COMPLETED,
self::STATUS_FAILED,
self::STATUS_CANCELLED,
];
public const array MEETING_BOT_JOIN_ATTEMPTED = [
self::STATUS_BOT_INSTANCE_WAITING_LOBBY,
self::STATUS_BOT_INSTANCE_STARTED,
];
public static array $enumStatuses = [
self::STATUS_SCHEDULED,
self::STATUS_PENDING,
self::STATUS_RINGING,
self::STATUS_IN_PROGRESS,
self::STATUS_COMPLETED,
self::STATUS_CANCELLED,
self::STATUS_BUSY,
self::STATUS_NO_ANSWER,
self::STATUS_FAILED,
self::STATUS_ACCEPTED,
self::STATUS_QUEUED,
self::STATUS_SENDING,
self::STATUS_SENT,
self::STATUS_RESENT,
self::STATUS_DELIVERED,
self::STATUS_UNDELIVERED,
self::STATUS_RECEIVING,
self::STATUS_RECEIVED,
self::STATUS_BOT_INSTANCE_WAITING_LOBBY,
self::STATUS_STARTING_SOON,
self::STATUS_BOT_INSTANCE_WORKER_ASSIGNED,
self::STATUS_BOT_INSTANCE_STARTED,
self::STATUS_DUPLICATED,
];
public static array $enumProviders = [
self::PROVIDER_TWILIO,
self::PROVIDER_OUTREACH,
self::PROVIDER_ZOOM_BOT,
self::PROVIDER_SALESLOFT,
self::PROVIDER_AIRCALL,
self::PROVIDER_JUSTCALL,
self::PROVIDER_GOOGLE_MEET,
self::PROVIDER_GONG,
self::PROVIDER_HUBSPOT,
self::PROVIDER_CLOSE,
self::PROVIDER_TEAMS,
self::PROVIDER_SALESFORCE,
self::PROVIDER_GROOVE,
self::PROVIDER_XANT,
self::PROVIDER_GOOGLE,
self::PROVIDER_OFFICE,
self::PROVIDER_NATTERBOX,
self::PROVIDER_RINGCENTRAL,
self::PROVIDER_RINGCENTRAL_VIDEO,
self::PROVIDER_GOTOMEETING,
self::PROVIDER_DEMODESK,
self::PROVIDER_DIALPAD,
self::PROVIDER_ZOOM_PHONE,
self::PROVIDER_CLOUDCALL,
self::PROVIDER_CLOUDCALL_US,
self::PROVIDER_EIGHT_BY_EIGHT,
self::PROVIDER_EIGHT_BY_EIGHT_CA,
self::PROVIDER_EIGHT_BY_EIGHT_AP,
self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,
self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,
self::PROVIDER_CONNECT_AND_SELL,
self::PROVIDER_CLOUD_TALK,
self::PROVIDER_AMAZON_CONNECT,
self::PROVIDER_VONAGE,
self::PROVIDER_TALKDESK,
self::PROVIDER_TWILIO_FLEX,
self::PROVIDER_TWILIO_FLEX_DIRECT,
self::PROVIDER_TWILIO_VIDEO,
self::PROVIDER_AVAYA,
self::PROVIDER_TELUS,
self::PROVIDER_FIVE_NINE,
self::PROVIDER_APOLLO,
self::PROVIDER_ORUM,
self::PROVIDER_BLOOBIRDS,
];
public static $enumRecordingStates = [
self::RECORDING_OFF, // Default state
self::RECORDING_IN_PROGRESS,
self::RECORDING_PAUSED,
self::RECORDING_STOPPED,
self::RECORDING_RECORDED,
self::RECORDING_FAILED,
];
// @Important:
// This collection is not used anywhere, and is fully duplicated by the Channels const.
// Validate if it is referred somehow via the enum trait, and if not, remove it entirely.
// An even better strategy will be to move all those constants to a dedicated class
protected array $enumTypes = [
self::TYPE_SOFTPHONE,
self::TYPE_SOFTPHONE_INBOUND,
self::TYPE_CONFERENCE,
self::TYPE_SMS_INBOUND,
self::TYPE_SMS_OUTBOUND,
self::TYPE_EMAIL_INBOUND,
self::TYPE_EMAIL_OUTBOUND,
];
protected static $enumFailedStatuses = [
self::STATUS_NO_ANSWER,
self::STATUS_FAILED,
self::STATUS_BUSY,
self::STATUS_CANCELLED,
];
protected $table = 'activities';
protected $fillable = [
// Type of activity.
'type', // @todo refactor to `channel`
// The activity type.
'playbook_category_id',
// User who hosts the activity.
'user_id',
// Related Lead record (if applicable)
'lead_id',
// Related Account record (if applicable)
'account_id',
// Related Contact record (if applicable)
'contact_id',
// Related Opportunity record (if applicable)
'opportunity_id',
// Stage of activity.
'stage_id',
// Value of opportunity.
'value',
// If the activity relates to a CRM task.
'crm_provider_id',
// If the activity was created through an external device.
'device_id',
// the activity's language code
'language',
// transcription id
'transcription_id',
// Duration of the call, with microseconds precision.
'duration',
// One of enumStatuses above.
'status',
// Have we reminded them to log the call?
'log_reminder_sent_at',
// If activity is private or inter-org, flagged here.
'is_internal',
// Managers and above can mark a call as private, to exclude it from other team members
'is_private',
'is_processed',
// Boolean for this activity being instant invite handled.
'is_instant_invite',
// If activity is in recording state, flagged here.
'recording_state',
// If activity recording is overidden from default.
'recording_preference',
// if recording did (not) happen, why that is
'recording_reason_code',
// Average score, updated during
'average_score',
// Summary that the organizer has taken after the call.
'summary',
// Subject of the activity, usually taken from calendar event.
'title',
// Description of the activity, usually taken from calendar event.
'description',
// Start time, usually taken from calendar event.
'scheduled_start_time',
// End time, usually taken from calendar event.
'scheduled_end_time',
// When the call actually started.
'actual_start_time',
// When the call actually ended.
'actual_end_time',
// SMS: Message reference
'telephony_provider_id',
// SMS: Participant who sent message
'from_participant_id',
// SMS: Participant who should receive the message
'to_participant_id',
// When an external guest joins an organizers meeting room and the organizer is not present,
// send them an SMS notification that someone has joined.
'organizer_notified_at',
// where was the activity imported from
'source',
// The id in the source system (e.g. the bot id in Recall.ai)
'external_id',
// The provider, by default it is twilio.
'provider',
// Meeting location url
'location',
// The snapshot for displaying a poster image.
'poster_path',
'crm_configuration_id',
// If there is an automated message that the conversation is being recorded
'has_recording_prompt',
// If the activity is being live-streamed
'on_air',
'calendar_event_id',
];
protected $appends = [
'id_string',
'organizer',
];
protected $hidden = [
'uuid',
];
protected $visible = [
'id_string',
'type',
'duration',
'average_score',
'status',
'log_reminder_sent_at',
'title',
'description',
'is_internal',
'scheduled_start_time',
'scheduled_end_time',
'actual_start_time',
'actual_end_time',
'user',
'category',
'account',
'contact',
'opportunity',
'lead',
'stage',
'stats',
'participants',
'playlists',
'tracks',
'comments',
'plays',
'coachingFeedbacks',
'shares',
'favorites',
'language',
'transcription',
'is_private',
'is_instant_invite',
'on_air',
'calendar_event_id',
];
protected function casts(): array
{
return [
'scheduled_start_time' => 'datetime',
'scheduled_end_time' => 'datetime',
'actual_start_time' => 'datetime',
'actual_end_time' => 'datetime',
'organizer_notified_at' => 'datetime',
'log_reminder_sent_at' => 'datetime',
'is_internal' => 'boolean',
'duration' => 'integer',
'average_score' => 'decimal:2',
'is_private' => 'boolean',
'is_processed' => 'boolean',
'is_instant_invite' => 'boolean',
'value' => 'decimal:2',
'recording_preference' => 'boolean',
'recording_reason_code' => 'integer',
'has_recording_prompt' => 'boolean',
'on_air' => 'integer',
];
}
protected static function boot()
{
parent::boot();
static::updated(static function (Activity $activity) {
// If activity is about to start (pending, ringing, in-progress) or event is scheduled in less than 1 week
if (in_array($activity->status, [Activity::STATUS_PENDING, Activity::STATUS_RINGING, Activity::STATUS_IN_PROGRESS], true) ||
($activity->scheduled_start_time && (int) $activity->scheduled_start_time->diffInWeeks(new Carbon(), true) < 1)) {
if ($activity->isDirty('status')) {
event(new StatusUpdated($activity));
}
if ($activity->isDirty('stage_id')) {
event(new StageUpdated($activity));
}
if ($activity->isDirty(['lead_id', 'account_id', 'contact_id'])) {
event(new ProspectUpdated($activity));
}
if ($activity->isDirty('opportunity_id')) {
event(new ActivityUpdated($activity, 'activity.opportunity-updated', Auth::user()));
}
if ($activity->isDirty('title')) {
event(new TitleUpdated($activity));
}
}
if ($activity->isDirty('playbook_category_id')) {
event(new ActivityTypeUpdated($activity));
}
});
static::deleted(static function (Activity $activity) {
// Hard delete associated playlistActivities
$activity->playlistActivities()->delete();
});
}
public function getOrganizerAttribute(): ?Participant
{
$participant = $this->participants()->where('user_id', $this->user_id)->first();
if (! $participant instanceof Participant && $participant !== null) {
throw new RuntimeException(sprintf('$participant must be an instance of "%s" or null', Participant::class));
}
return $participant;
}
public function getFormattedValueAttribute()
{
$currencyCode = 'USD';
if ($this->opportunity) {
$currencyCode = $this->opportunity->getCurrencyCode();
}
$formatter = new CurrencyFormatter();
$formatter->setTextAttribute(NumberFormatter::CURRENCY_CODE, $currencyCode);
$formatter->setAttribute(NumberFormatter::MAX_FRACTION_DIGITS, 0);
return $formatter->format($this->value, $currencyCode);
}
public function getProspectNameAttribute(): ?string
{
$prospectName = null;
if ($this->lead_id) {
$prospectName = $this->lead->name;
} elseif ($this->contact_id) {
$prospectName = $this->contact->name;
} elseif ($this->account_id) {
$prospectName = $this->account->name;
}
return $prospectName;
}
public function getProspectName(): ?string
{
/** @var string|null */
return $this->getAttribute('prospect_name');
}
/**
* Get activity title depending on prospect or title
*/
public function getActivityTitleAttribute(): ?string
{
$activityTitle = null;
if ($this->prospect && $this->prospect->getName()) {
if ($this->account_id) {
$activityTitle = $this->account->name;
} elseif ($this->lead_id) {
$activityTitle = $this->lead->company;
} elseif ($this->contact_id) {
$activityTitle = $this->contact->account ? $this->contact->account->name : $this->contact->name;
}
} elseif ($this->title) {
$activityTitle = $this->title;
}
return $activityTitle;
}
public function wasRecentlyCreated(): bool
{
return $this->wasRecentlyCreated;
}
public function getProspectTypeAttribute()
{
$prospectType = null;
if ($this->lead_id) {
$prospectType = 'Lead';
} elseif ($this->contact_id) {
$prospectType = 'Contact';
} elseif ($this->account_id) {
$prospectType = 'Account';
}
return $prospectType;
}
/**
* Return the best match for prospect. Results are in the following order of priority:
* 1. Lead
* 2. Contact
* 3. Account
* 4. NULL
*/
public function getProspectAttribute(): ?ProspectInterface
{
if ($this->hasLead()) {
return $this->getLead();
}
if ($this->hasContact()) {
return $this->getContact();
}
if ($this->hasAccount()) {
return $this->getAccount();
}
return null;
}
public function getTitleAttribute($value): ?string
{
return \getActivityTitleAttribute(
$this->user->name,
$this->getType(),
$value,
$this->prospect->name ?? null,
$this->from->national_phone_number ?? null
);
}
public function getTitle(): ?string
{
return $this->getAttribute('title');
}
public function getSummary(): ?string
{
return $this->getAttribute('summary');
}
public function isInternal(): bool
{
return $this->getAttribute('is_internal');
}
public function getIsPrivate(): bool
{
return $this->getAttribute('is_private');
}
public function getDescription(): ?string
{
return $this->getAttribute('description');
}
public function hasTitle(): bool
{
return $this->getOriginal('title') !== null;
}
public function getPlayCountAttribute()
{
return $this->getPlaysCountAttribute();
}
public function getPlaysCountAttribute()
{
if (! isset($this->attributes['plays_count'])) {
$this->loadCount('plays');
}
return $this->attributes['plays_count'];
}
public function getCommentCountAttribute()
{
return $this->getCommentsCountAttribute();
}
public function getCommentsCountAttribute()
{
if (! isset($this->attributes['comments_count'])) {
$this->loadCount('comments');
}
return $this->attributes['comments_count'];
}
public function getVisibleCommentsCountAttribute()
{
if (! isset($this->attributes['visible_comments_count'])) {
$activityCommentsService = app(ActivityCommentService::class);
$user = Auth::user() instanceof User ? Auth::user() : null;
$this->attributes['visible_comments_count'] = $activityCommentsService
->getVisibleCommentsCount($this, $user);
}
return $this->attributes['visible_comments_count'];
}
public function getShareCountAttribute()
{
return $this->getSharesCountAt...
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Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"7","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\nnamespace Jiminny\\Console\\Commands\\Activities;\n\nuse Illuminate\\Console\\Command;\nuse Illuminate\\Contracts\\Events\\Dispatcher;\nuse Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity;\nuse Jiminny\\Contracts\\ES\\UpdateTargetEnum;\nuse Jiminny\\Models\\Activity;\n\nclass UpdateActivityElasticSearchDocumentCommand extends Command\n{\n protected $signature = 'activity:update:es {activityId}';\n protected $description = 'Update ES document synchronously';\n\n public function __construct(private readonly Dispatcher $eventDispatcher)\n {\n parent::__construct();\n }\n\n public function handle(): void\n {\n $activityId = $this->argument('activityId');\n\n $this->info(\"Searching for activity with: {$activityId}\");\n\n if (is_numeric($activityId)) {\n $activity = Activity::find((int) $activityId);\n } else {\n $activity = Activity::where('uuid', \\Jiminny\\Traits\\RequiresUUID::toOptimized($activityId))->first();\n }\n\n if (! $activity) {\n $this->error(\"Activity with ID/UUID {$activityId} not found\");\n\n return;\n }\n\n $this->info(\"Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}\");\n $this->info('Sending activity for ES update...');\n\n try {\n $this->eventDispatcher->dispatch(\n new UpdateSingleEntity(\n entityId: $activity->getId(),\n updateTarget: UpdateTargetEnum::ACTIVITY,\n purpose: 'cli-command-activity-update-es',\n isSyncEvent: true,\n )\n );\n\n $this->info('Done.');\n } catch (\\Exception $e) {\n $this->error('Failed to update ES: ' . $e->getMessage());\n $this->error($e->getTraceAsString());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Console\\Commands\\Activities;\n\nuse Illuminate\\Console\\Command;\nuse Illuminate\\Contracts\\Events\\Dispatcher;\nuse Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity;\nuse Jiminny\\Contracts\\ES\\UpdateTargetEnum;\nuse Jiminny\\Models\\Activity;\n\nclass UpdateActivityElasticSearchDocumentCommand extends Command\n{\n protected $signature = 'activity:update:es {activityId}';\n protected $description = 'Update ES document synchronously';\n\n public function __construct(private readonly Dispatcher $eventDispatcher)\n {\n parent::__construct();\n }\n\n public function handle(): void\n {\n $activityId = $this->argument('activityId');\n\n $this->info(\"Searching for activity with: {$activityId}\");\n\n if (is_numeric($activityId)) {\n $activity = Activity::find((int) $activityId);\n } else {\n $activity = Activity::where('uuid', \\Jiminny\\Traits\\RequiresUUID::toOptimized($activityId))->first();\n }\n\n if (! $activity) {\n $this->error(\"Activity with ID/UUID {$activityId} not found\");\n\n return;\n }\n\n $this->info(\"Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}\");\n $this->info('Sending activity for ES update...');\n\n try {\n $this->eventDispatcher->dispatch(\n new UpdateSingleEntity(\n entityId: $activity->getId(),\n updateTarget: UpdateTargetEnum::ACTIVITY,\n purpose: 'cli-command-activity-update-es',\n isSyncEvent: true,\n )\n );\n\n $this->info('Done.');\n } catch (\\Exception $e) {\n $this->error('Failed to update ES: ' . $e->getMessage());\n $this->error($e->getTraceAsString());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"4","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"169","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"4","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"102","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"4","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\nnamespace Jiminny\\Models;\n\nuse Carbon\\Carbon;\nuse Database\\Factories\\ActivityFactory;\nuse DateTimeInterface;\nuse Exception;\nuse Illuminate\\Contracts\\Auth\\Authenticatable;\nuse Illuminate\\Database\\Eloquent;\nuse Illuminate\\Database\\Eloquent\\Attributes\\Scope;\nuse Illuminate\\Database\\Eloquent\\Builder;\nuse Illuminate\\Database\\Eloquent\\Factories\\Factory;\nuse Illuminate\\Database\\Eloquent\\Factories\\HasFactory;\nuse Illuminate\\Database\\Eloquent\\Relations\\BelongsTo;\nuse Illuminate\\Database\\Eloquent\\Relations\\BelongsToMany;\nuse Illuminate\\Database\\Eloquent\\Relations\\HasMany;\nuse Illuminate\\Database\\Eloquent\\Relations\\HasManyThrough;\nuse Illuminate\\Database\\Eloquent\\Relations\\HasOne;\nuse Illuminate\\Database\\Eloquent\\SoftDeletes;\nuse Illuminate\\Support\\Collection;\nuse Illuminate\\Support\\Facades\\Auth;\nuse InvalidArgumentException;\nuse Jiminny\\Component\\ElasticSearch;\nuse Jiminny\\Component\\MeetingBot;\nuse Jiminny\\Component\\Model\\BitwiseFlagTrait;\nuse Jiminny\\Component\\PlaybackPage\\Comments\\Services\\ActivityCommentService;\nuse Jiminny\\Component\\Sidekick\\SidekickService;\nuse Jiminny\\Component\\Uuid\\UuidAwareInterface;\nuse Jiminny\\Component\\Workflow;\nuse Jiminny\\Contracts;\nuse Jiminny\\Contracts\\Crm\\ProspectInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\Events\\Activities\\ActivityTypeUpdated;\nuse Jiminny\\Events\\Activities\\ActivityUpdated;\nuse Jiminny\\Events\\Activities\\ProspectUpdated;\nuse Jiminny\\Events\\Activities\\StageUpdated;\nuse Jiminny\\Events\\Activities\\StatusUpdated;\nuse Jiminny\\Events\\Activities\\TitleUpdated;\nuse Jiminny\\Exceptions\\InvalidArgumentException as InvalidArgumentJiminnyException;\nuse Jiminny\\Exceptions\\LogicException;\nuse Jiminny\\Exceptions\\RuntimeException;\nuse Jiminny\\Models;\nuse Jiminny\\Models\\Activity\\ActivitySummaryLog;\nuse Jiminny\\Models\\Activity\\ActivityUploadSetting;\nuse Jiminny\\Models\\Activity\\AvailabilityNotification;\nuse Jiminny\\Models\\Activity\\CoachRequest;\nuse Jiminny\\Models\\Activity\\Comment;\nuse Jiminny\\Models\\Activity\\Log;\nuse Jiminny\\Models\\Activity\\Message;\nuse Jiminny\\Models\\Activity\\Moment;\nuse Jiminny\\Models\\Activity\\Note;\nuse Jiminny\\Models\\Activity\\ParticipantSpeech;\nuse Jiminny\\Models\\Activity\\Play;\nuse Jiminny\\Models\\Activity\\Question;\nuse Jiminny\\Models\\Activity\\Share;\nuse Jiminny\\Models\\Activity\\Snapshot;\nuse Jiminny\\Models\\Activity\\Stats;\nuse Jiminny\\Models\\Activity\\SubscriptionSet;\nuse Jiminny\\Models\\Activity\\TopicTrigger;\nuse Jiminny\\Models\\Activity\\Transcription;\nuse Jiminny\\Models\\Calendar\\CalendarEvent;\nuse Jiminny\\Models\\Crm\\Configuration;\nuse Jiminny\\Models\\Crm\\FieldData;\nuse Jiminny\\Models\\ElasticSearch\\ActivityElasticSearchTrait;\nuse Jiminny\\Models\\Feature\\FeatureEnum;\nuse Jiminny\\Models\\Participant\\Connection;\nuse Jiminny\\Models\\Playlist\\Activity as PlaylistActivity;\nuse Jiminny\\Services\\Activity\\ActivityProviderRegistry;\nuse Jiminny\\Services\\Activity\\Import\\DataResolvers\\UpdateCrmDataByStrategy;\nuse Jiminny\\Services\\Activity\\Import\\DataResolvers\\UpdateCrmDataResolverFactory;\nuse Jiminny\\Services\\Activity\\Import\\DataResolvers\\UpdateCrmDataResolverInterface;\nuse Jiminny\\Traits\\Enums;\nuse Jiminny\\Traits\\RequiresUUID;\nuse Jiminny\\Utils\\CurrencyFormatter;\nuse NumberFormatter;\n\nuse function in_array;\n\n/**\n * Jiminny\\Models\\Activity\n *\n * @property null|int $auto_score filled from ES hydrator, not in DB!\n * @property-read Account|null $account\n * @property-read CalendarEvent|null $calendarEvent\n * @property-read Contact|null $contact\n * @property-read Lead|null $lead\n * @property-read Opportunity|null $opportunity\n * @property-read Stage|null $stage\n * @property int $id\n * @property mixed|null $uuid\n * @property string|null $source\n * @property string|null $external_id\n * @property string $provider\n * @property string|null $location\n * @property string|null $telephony_provider_id\n * @property int|null $from_participant_id\n * @property int|null $to_participant_id\n * @property int|null $device_id\n * @property string|null $type\n * @property int|null $playbook_category_id\n * @property int $user_id\n * @property int|null $lead_id\n * @property int|null $account_id\n * @property int|null $contact_id\n * @property int|null $opportunity_id\n * @property int|null $stage_id\n * @property string|null $value\n * @property int|null $crm_configuration_id\n * @property string|null $crm_provider_id\n * @property string|null $language\n * @property int|null $transcription_id\n * @property int $duration\n * @property string $status\n * @property int|null $on_air\n * @property int|null $calendar_event_id\n * @property string $recording_state\n * @property bool|null $recording_preference\n * @property int $recording_reason_code\n * @property int $summary_reminder_sent\n * @property \\Illuminate\\Support\\Carbon|null $log_reminder_sent_at\n * @property \\Illuminate\\Support\\Carbon|null $organizer_notified_at\n * @property bool|null $has_recording_prompt\n * @property bool $is_internal\n * @property int $is_locked\n * @property int $is_recording\n * @property bool|null $is_processed\n * @property bool $is_private\n * @property bool $is_instant_invite\n * @property string|null $poster_path\n * @property string|null $summary\n * @property string|null $title\n * @property string|null $description\n * @property \\Illuminate\\Support\\Carbon|null $scheduled_start_time\n * @property \\Illuminate\\Support\\Carbon|null $scheduled_end_time\n * @property \\Illuminate\\Support\\Carbon|null $actual_start_time\n * @property \\Illuminate\\Support\\Carbon|null $actual_end_time\n * @property int|null $uploaded_by\n * @property \\Illuminate\\Support\\Carbon|null $deleted_at\n * @property \\Illuminate\\Support\\Carbon|null $created_at\n * @property \\Illuminate\\Support\\Carbon|null $updated_at\n * @property string|null $average_score\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant> $activeParticipants\n * @property-read int|null $active_participants_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Scorecard\\ActivityScorecardRuleTrigger> $activityScorecardRuleTriggers\n * @property-read int|null $activity_scorecard_rule_triggers_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Scorecard\\ActivityScorecardRule> $activityScorecardRules\n * @property-read int|null $activity_scorecard_rules_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, AvailabilityNotification> $availabilityNotifications\n * @property-read int|null $availability_notifications_count\n * @property-read \\Jiminny\\Models\\PlaybookCategory|null $category\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, CoachRequest> $coachRequests\n * @property-read int|null $coach_requests_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\CoachingFeedback> $coachingFeedbacks\n * @property-read int|null $coaching_feedbacks_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Message> $coachingMessages\n * @property-read int|null $coaching_messages_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Comment> $comments\n * @property-read int|null $comments_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Connection> $connections\n * @property-read int|null $connections_count\n * @property-read Configuration|null $crm\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, FieldData> $data\n * @property-read int|null $data_count\n * @property-read \\Jiminny\\Models\\Device|null $device\n * @property-read \\Kalnoy\\Nestedset\\Collection<int, \\Jiminny\\Models\\Playlist> $favoritePlaylists\n * @property-read int|null $favorite_playlists_count\n * @property-read \\Jiminny\\Models\\Participant|null $from\n * @property-read string|null $activity_title\n * @property-read mixed $comment_count\n * @property-read mixed $duration_for_humans\n * @property-read string $duration_for_humans_short\n * @property-read int $favorite_count\n * @property-read mixed $favorites_count\n * @property-read mixed $formatted_value\n * @property-read string $id_string\n * @property-read \\Jiminny\\Models\\Participant|null $organizer\n * @property-read mixed $play_count\n * @property-read int|null $plays_count\n * @property-read ?ProspectInterface $prospect\n * @property-read string|null $prospect_name\n * @property-read mixed $prospect_type\n * @property-read mixed $share_count\n * @property-read int|null $shares_count\n * @property-read int|null $tracks_with_telephony_count\n * @property-read int|null $visible_comments_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\CoachingFeedback> $latestCoachingFeedbacks\n * @property-read int|null $latest_coaching_feedbacks_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Log> $logs\n * @property-read int|null $logs_count\n * @property-read \\Jiminny\\Models\\Track|null $masterTrack\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Message> $messages\n * @property-read int|null $messages_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Moment> $moments\n * @property-read int|null $moments_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Note> $notes\n * @property-read int|null $notes_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant\\Share> $participantShares\n * @property-read int|null $participant_shares_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, ParticipantSpeech> $participantSpeeches\n * @property-read int|null $participant_speeches_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant\\ParticipantStats> $participantStats\n * @property-read int|null $participant_stats_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant> $participants\n * @property-read int|null $participants_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, PlaylistActivity> $playlistActivities\n * @property-read int|null $playlist_activities_count\n * @property-read \\Kalnoy\\Nestedset\\Collection<int, \\Jiminny\\Models\\Playlist> $playlists\n * @property-read int|null $playlists_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Play> $plays\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Question> $questions\n * @property-read int|null $questions_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Session> $sessions\n * @property-read int|null $sessions_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Share> $shares\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Snapshot> $snapshots\n * @property-read int|null $snapshots_count\n * @property-read Stats|null $stats\n * @property-read \\Jiminny\\Models\\Participant|null $to\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, TopicTrigger> $topicTriggers\n * @property-read int|null $topic_triggers_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Track> $tracks\n * @property-read int|null $tracks_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Track> $tracksWithTelephony\n * @property-read Transcription|null $transcription\n * @property-read \\Jiminny\\Models\\User $user\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Comment> $visibleComments\n *\n * @method static \\Illuminate\\Database\\Eloquent\\Collection<int, static> all($columns = ['*'])\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity chunkByIdDesc($count, callable $callback, $column = null, $alias = null)\n * @method static \\Database\\Factories\\ActivityFactory factory(...$parameters)\n * @method static \\Illuminate\\Database\\Eloquent\\Collection<int, static> get($columns = ['*'])\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity heldBetween(\\Carbon\\Carbon $start, \\Carbon\\Carbon $end)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity idOrUuId($idOrUuid, bool $first = true)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity newModelQuery()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity newQuery()\n * @method static Builder|Activity onlyTrashed()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity query()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity scheduledBetween(\\Carbon\\Carbon $start, \\Carbon\\Carbon $end)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity inOpenDeals()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity notInOpenDeals()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity forTeam(int $teamId)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity search(callable $searchQuery, $key = null, $sortByResults = true)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity uuid(string $uuid, bool $first = true)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereAccountId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereActualEndTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereActualStartTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereAverageScore($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCalendarEventId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereContactId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCreatedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCrmConfigurationId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCrmProviderId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDeletedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDescription($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDeviceId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDuration($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereFromParticipantId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereHasRecordingPrompt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsInstantInvite($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsInternal($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsLocked($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsPrivate($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsProcessed($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsRecording($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLanguage($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLeadId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLocation($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLogReminderSentAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereOnAir($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereOpportunityId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereOrganizerNotifiedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity wherePlaybookCategoryId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity wherePosterPath($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereProvider($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereRecordingPreference($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereRecordingReasonCode($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereRecordingState($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereScheduledEndTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereScheduledStartTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereSource($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereExternalId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereStageId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereStatus($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereSummary($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereSummaryReminderSent($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereTelephonyProviderId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereTitle($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereToParticipantId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereTranscriptionId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereType($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUpdatedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUploadedBy($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUserId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUuid($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereValue($value)\n * @method static Builder|Activity withTrashed()\n * @method static Builder|Activity withoutTrashed()\n *\n * @mixin \\Eloquent\n */\nclass Activity extends Model implements\n ElasticSearch\\Contract\\Searchable,\n Workflow\\Workflow\\WorkflowAwareInterface,\n Models\\Contracts\\ActivityContract,\n Contracts\\Model\\ActivityInterface,\n UuidAwareInterface\n{\n use HasFactory;\n\n use Enums;\n use SoftDeletes;\n use RequiresUUID;\n use BitwiseFlagTrait;\n use ElasticSearch\\Model\\Searchable;\n use ActivityElasticSearchTrait;\n\n use Workflow\\Workflow\\WorkflowAware {\n transitionTo as traitTransitionTo;\n }\n\n public const int FLAG_RECORDING_REASON_DEFAULT = 0;\n\n // Recording Prompted but never started\n public const int FLAG_RECORDING_REASON_COMPLIANCE_PROMPT = 1;\n public const int FLAG_RECORDING_REASON_COMPLIANCE_RESUMED = 2;\n public const int FLAG_RECORDING_REASON_NO_AUDIO = 3;\n\n // Recording Disabled by Organization\n public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT = 4;\n\n // Recording was restricted to one-side recordings only\n public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT_ONE_SIDE = 8;\n\n // Recording was not started because it was internal and team setting disabled that.\n public const int FLAG_RECORDING_REASON_TEAM_INTERNAL_DISABLED = 16;\n\n // Recording was not started because it was internal and user setting disabled that.\n public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED = 32;\n\n // Recording was not started because user setting disabled automatic recording.\n public const int FLAG_RECORDING_REASON_USER_AUTOMATIC_DISABLED = 64;\n\n // Recording was not started because team setting disabled automatic recording.\n public const int FLAG_RECORDING_REASON_TEAM_AUTOMATIC_DISABLED = 128;\n\n // Recording was not started because user has overriden default.\n public const int FLAG_RECORDING_REASON_PREFERENCE_OVERRIDE = 256;\n\n // Recording was not started because they don't want internal, and this meeting was not scheduled/imported in time.\n public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED_UNSCHEDULED = 512;\n\n // Recording was not started because their team setting does excludes the meeting type.\n public const int FLAG_RECORDING_REASON_UNSUPPORTED_TYPE = 1024;\n\n // Recording was not started because the external provider disabled it (or recording is missing etc).\n public const int FLAG_RECORDING_REASON_EXTERNALLY_DISABLED = 2048;\n\n // Recording was stopped externally (\"exit-meeting\" Pusher event)\n public const int FLAG_RECORDING_REASON_STOPPED_EXTERNALLY = 384;\n\n // Recording couldn't be started due to Zoom hosting conflict error\n public const int FLAG_RECORDING_REASON_HOSTING_CONFLICT = 448;\n\n // meeting.failed event with reason code BOT_DENIED_FROM_LOBBY\n public const int FLAG_RECORDING_REASON_MEETING_BOT_DENIED_FROM_LOBBY = 4096;\n\n // meeting.failed event with reason code LOBBY_TIMEOUT\n public const int FLAG_RECORDING_REASON_MEETING_BOT_LOBBY_TIMEOUT = 8192;\n\n // meeting.failed event with reason code BOT_KICKED\n public const int FLAG_RECORDING_REASON_MEETING_BOT_KICKED = 16384;\n\n // meeting.failed event with reason code UNKNOWN\n public const int FLAG_RECORDING_REASON_MEETING_BOT_UNKNOWN = 32768;\n\n public const int FLAG_RECORDING_REASON_CONSENT_DENIED = 65536;\n\n // Invalid meeting (e.g. URL is invalid, or the meeting is not found)\n public const int FLAG_RECORDING_REASON_MEETING_BOT_INVALID = 131072;\n\n // The host stopped the recording.\n public const int FLAG_RECORDING_REASON_USER_STOPPED = 262144;\n\n // Recording was not started because an alternative vendor disabled it (or overrode it).\n public const int FLAG_RECORDING_REASON_VENDOR_OVERRIDE = 1048576;\n\n // Login required meeting.failed code\n public const int FLAG_RECORDING_REASON_LOGIN_REQUIRED = 524288;\n\n // Password for meeting was not provided - meeting.failed code\n public const int FLAG_RECORDING_REASON_MEETING_PASSWORD_NOT_PROVIDED = 2097152;\n\n // meeting.failed - when the meeting is locked\n public const int FLAG_RECORDING_REASON_MEETING_IS_LOCKED = 4194304;\n\n // max recording duration reached\n public const int FLAG_RECORDING_REASON_MAX_DURATION_REACHED = 8388608;\n\n // recording size is too small\n public const int FLAG_RECORDING_REASON_EMPTY_RECORDING = 16777216;\n\n // meeting.failed - when bot is redirected to sign in page multiple times\n public const int FLAG_RECORDING_REASON_MAX_RESTART_COUNT_IS_REACHED = 33554432;\n\n // meeting.failed event with reason code CONNECTION_LOST\n public const int FLAG_RECORDING_REASON_MEETING_BOT_CONNECTION_LOST = 67108864;\n\n // recording is corrupted.\n public const int FLAG_RECORDING_REASON_MEDIA_FILE_UNSUPPORTED_MIME_TYPE = 134217728;\n\n // meeting ended in lobby\n public const int FLAG_RECORDING_REASON_MEETING_ENDED_IN_LOBBY = 268435456;\n\n // meeting not started\n public const int FLAG_RECORDING_REASON_REASON_MEETING_NOT_STARTED = 536870912;\n\n // unfinished zoom custom disclaimer\n public const int FLAG_RECORDING_REASON_FEATURE_RULE_NOT_FOUND_ERROR = 1073741824;\n\n // recording download failed - server error\n public const int FLAG_RECORDING_REASON_SERVER_ERROR = 2147483648;\n\n // recording download failed - client code 404\n public const int FLAG_RECORDING_REASON_NOT_FOUND = 2147483649;\n\n // recording download failed - client code 401, 403\n public const int FLAG_RECORDING_REASON_ACCESS_DENIED = 2147483650;\n\n // recording download failed - client code 429\n public const int FLAG_RECORDING_REASON_TOO_MANY_REQUESTS = 2147483651;\n\n // recording download failed - unknown client error\n public const int FLAG_RECORDING_REASON_CLIENT_ERROR = 2147483652;\n\n // recording download failed - unknown error\n public const int FLAG_RECORDING_REASON_UNKNOWN_ERROR = 2147483653;\n\n // It has been setup ahead of time through calendar\n public const string STATUS_SCHEDULED = 'scheduled';\n\n // It is awaiting audio.\n public const string STATUS_PENDING = 'pending';\n\n // Participant(s) dialed in, awaiting organizer.\n public const string STATUS_RINGING = 'ringing';\n\n // Call is in progress.\n public const string STATUS_IN_PROGRESS = 'in-progress';\n\n // It has ended.\n public const string STATUS_COMPLETED = 'completed';\n\n // Cancelled prior to starting.\n public const string STATUS_CANCELLED = 'canceled';\n\n public const string STATUS_DUPLICATED = 'duplicated'; // duplicated conference\n\n public const string STATUS_STARTING_SOON = 'starting-soon';\n\n public const string STATUS_BOT_CREATE_SENT = 'bot-create-sent';\n\n public const string STATUS_BOT_INSTANCE_WORKER_ASSIGNED = 'worker-assigned';\n\n public const string STATUS_BOT_INSTANCE_STARTED = 'bot-started';\n\n // When bot instance is waiting in lobby\n public const string STATUS_BOT_INSTANCE_WAITING_LOBBY = 'bot-waiting';\n\n public const string STATUS_BUSY = 'busy';\n public const string STATUS_NO_ANSWER = 'no-answer';\n public const string STATUS_FAILED = 'failed'; // Used by SMS too\n\n // SMS related\n public const string STATUS_ACCEPTED = 'accepted';\n public const string STATUS_QUEUED = 'queued';\n public const string STATUS_SENDING = 'sending';\n public const string STATUS_SENT = 'sent';\n public const string STATUS_DELIVERED = 'delivered';\n public const string STATUS_UNDELIVERED = 'undelivered';\n public const string STATUS_RECEIVING = 'receiving';\n public const string STATUS_RECEIVED = 'received';\n public const string STATUS_RESENT = 'resent';\n\n public const array SMS_STATUSES = [\n Activity::STATUS_RECEIVED,\n Activity::STATUS_SENT,\n Activity::STATUS_DELIVERED,\n ];\n\n public const array SOFT_PHONE_CONFERENCE_STATUSES = [\n Activity::STATUS_IN_PROGRESS,\n Activity::STATUS_COMPLETED,\n ];\n\n // @todo refactor prefix from `TYPE_` to `CHANNEL_`\n public const string TYPE_SOFTPHONE = 'softphone';\n public const string TYPE_SOFTPHONE_INBOUND = 'softphone-inbound';\n public const string TYPE_CONFERENCE = 'conference';\n public const string TYPE_SMS_INBOUND = 'sms-inbound';\n public const string TYPE_SMS_OUTBOUND = 'sms-outbound';\n public const string TYPE_EMAIL_INBOUND = 'email-inbound';\n public const string TYPE_EMAIL_OUTBOUND = 'email-outbound';\n\n public const array CHANNELS = [\n self::TYPE_SOFTPHONE,\n self::TYPE_SOFTPHONE_INBOUND,\n self::TYPE_CONFERENCE,\n self::TYPE_SMS_INBOUND,\n self::TYPE_SMS_OUTBOUND,\n self::TYPE_EMAIL_INBOUND,\n self::TYPE_EMAIL_OUTBOUND,\n ];\n\n public const array PLAYABLE_CHANNELS = [\n self::TYPE_SOFTPHONE,\n self::TYPE_SOFTPHONE_INBOUND,\n self::TYPE_CONFERENCE,\n ];\n\n // Recording States\n public const string RECORDING_OFF = 'off'; // Default state\n public const string RECORDING_IN_PROGRESS = 'in-progress';\n public const string RECORDING_PAUSED = 'paused';\n public const string RECORDING_STOPPED = 'stopped'; // To never be resumed.\n public const string RECORDING_RECORDED = 'recorded'; // At least some portion of it was recorded.\n public const string RECORDING_FAILED = 'failed'; // Recording was attempted but failed for some reason.\n\n // Live Stream States\n public const int ON_AIR_DEFAULT = 0;\n public const int ON_AIR_READY = 1;\n public const int ON_AIR_PREPARING = 2;\n public const int ON_AIR_STREAMING = 3;\n public const int ON_AIR_FINISHED = 4;\n public const int ON_AIR_NOT_STREAMED = 5;\n public const int ON_AIR_ERROR = -1;\n\n public const string SOURCE_GONG = 'gong';\n public const string SOURCE_CHORUS = 'chorus';\n public const string SOURCE_OUTLOOK = 'outlook';\n public const string SOURCE_GOOGLE = 'google';\n\n // Activity Providers\n public const string PROVIDER_TWILIO = 'twilio'; // XXX: This is run via the Jiminny Provider.\n public const string PROVIDER_OUTREACH = 'outreach';\n public const string PROVIDER_ZOOM_BOT = 'zoom-bot';\n public const string PROVIDER_SALESLOFT = 'salesloft';\n public const string PROVIDER_GOOGLE = 'google';\n public const string PROVIDER_AIRCALL = 'aircall';\n public const string PROVIDER_JUSTCALL = 'justcall';\n public const string PROVIDER_GOOGLE_MEET = 'google-meet';\n public const string PROVIDER_GONG = 'gong';\n public const string PROVIDER_HUBSPOT = 'hubspot';\n public const string PROVIDER_CLOSE = 'close';\n public const string PROVIDER_TEAMS = 'ms-teams';\n public const string PROVIDER_SALESFORCE = 'salesforce';\n public const string PROVIDER_GROOVE = 'groove';\n public const string PROVIDER_XANT = 'xant';\n public const string PROVIDER_OFFICE = 'office';\n public const string PROVIDER_NATTERBOX = 'natterbox';\n public const string PROVIDER_RINGCENTRAL = 'ringcentral';\n public const string PROVIDER_RINGCENTRAL_VIDEO = 'ringcentral-video';\n public const string PROVIDER_GOTOMEETING = 'go-to-meeting';\n public const string PROVIDER_DEMODESK = 'demo-desk';\n public const string PROVIDER_DIALPAD = 'dialpad';\n public const string PROVIDER_ZOOM_PHONE = 'zoom-phone';\n public const string PROVIDER_CLOUDCALL = 'cloudcall';\n public const string PROVIDER_CLOUDCALL_US = 'cloudcall-us';\n public const string PROVIDER_EIGHT_BY_EIGHT = 'eight-by-eight'; // \"8x8\" UK\n public const string PROVIDER_EIGHT_BY_EIGHT_CA = 'eight-by-eight-ca'; // \"8x8\" Canada\n public const string PROVIDER_EIGHT_BY_EIGHT_AP = 'eight-by-eight-ap'; // \"8x8\" Australia\n public const string PROVIDER_EIGHT_BY_EIGHT_US_EAST = 'eight-by-eight-use'; // \"8x8\" US East\n public const string PROVIDER_EIGHT_BY_EIGHT_US_WEST = 'eight-by-eight-usw'; // \"8x8\" US West\n public const string PROVIDER_CONNECT_AND_SELL = 'connect-and-sell';\n public const string PROVIDER_CLOUD_TALK = 'cloud-talk';\n public const string PROVIDER_AMAZON_CONNECT = 'amazon-connect';\n public const string PROVIDER_VONAGE = 'vonage';\n public const string PROVIDER_MIGRATOR = 'migrator';\n public const string PROVIDER_UPLOADER = 'uploader';\n public const string PROVIDER_TALKDESK = 'talkdesk';\n public const string PROVIDER_TWILIO_FLEX = 'twilio-flex';\n public const string PROVIDER_TWILIO_FLEX_DIRECT = 'twilio-flex-direct';\n public const string PROVIDER_TWILIO_VIDEO = 'twilio-video';\n public const string PROVIDER_AVAYA = 'avaya';\n public const string PROVIDER_TELUS = 'telus';\n public const string PROVIDER_FIVE_NINE = 'five-nine';\n public const string PROVIDER_APOLLO = 'apollo';\n public const string PROVIDER_ORUM = 'orum';\n public const string PROVIDER_BLOOBIRDS = 'bloobirds';\n\n /**\n * @const API_PROVIDERS\n * A list of integrations that import calls via API instead of webhooks\n */\n public const array API_PROVIDERS = [\n self::PROVIDER_OUTREACH,\n self::PROVIDER_SALESLOFT,\n self::PROVIDER_HUBSPOT,\n self::PROVIDER_GROOVE,\n self::PROVIDER_XANT,\n self::PROVIDER_NATTERBOX,\n self::PROVIDER_CLOUDCALL,\n self::PROVIDER_CLOUDCALL_US,\n self::PROVIDER_EIGHT_BY_EIGHT,\n self::PROVIDER_EIGHT_BY_EIGHT_CA,\n self::PROVIDER_EIGHT_BY_EIGHT_AP,\n self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,\n self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,\n self::PROVIDER_CONNECT_AND_SELL,\n self::PROVIDER_CLOUD_TALK,\n self::PROVIDER_AMAZON_CONNECT,\n self::PROVIDER_VONAGE,\n self::PROVIDER_TALKDESK,\n self::PROVIDER_TWILIO_VIDEO,\n self::PROVIDER_TWILIO_FLEX,\n self::PROVIDER_TWILIO_FLEX_DIRECT,\n self::PROVIDER_FIVE_NINE,\n self::PROVIDER_APOLLO,\n self::PROVIDER_ORUM,\n self::PROVIDER_BLOOBIRDS,\n self::PROVIDER_RINGCENTRAL,\n self::PROVIDER_AVAYA,\n self::PROVIDER_TELUS,\n ];\n\n public const array FINITE_STATES = [\n self::TYPE_SOFTPHONE => [\n self::STATUS_COMPLETED,\n self::STATUS_FAILED,\n self::STATUS_NO_ANSWER,\n self::STATUS_BUSY,\n ],\n self::TYPE_SOFTPHONE_INBOUND => [\n self::STATUS_COMPLETED,\n self::STATUS_FAILED,\n self::STATUS_NO_ANSWER,\n self::STATUS_BUSY,\n ],\n self::TYPE_CONFERENCE => self::FINITE_STATES_CONFERENCE,\n ];\n\n public const array FINITE_STATES_CONFERENCE = [\n self::STATUS_COMPLETED,\n self::STATUS_FAILED,\n self::STATUS_CANCELLED,\n ];\n\n public const array MEETING_BOT_JOIN_ATTEMPTED = [\n self::STATUS_BOT_INSTANCE_WAITING_LOBBY,\n self::STATUS_BOT_INSTANCE_STARTED,\n ];\n\n public static array $enumStatuses = [\n self::STATUS_SCHEDULED,\n self::STATUS_PENDING,\n self::STATUS_RINGING,\n self::STATUS_IN_PROGRESS,\n self::STATUS_COMPLETED,\n self::STATUS_CANCELLED,\n self::STATUS_BUSY,\n self::STATUS_NO_ANSWER,\n self::STATUS_FAILED,\n self::STATUS_ACCEPTED,\n self::STATUS_QUEUED,\n self::STATUS_SENDING,\n self::STATUS_SENT,\n self::STATUS_RESENT,\n self::STATUS_DELIVERED,\n self::STATUS_UNDELIVERED,\n self::STATUS_RECEIVING,\n self::STATUS_RECEIVED,\n self::STATUS_BOT_INSTANCE_WAITING_LOBBY,\n self::STATUS_STARTING_SOON,\n self::STATUS_BOT_INSTANCE_WORKER_ASSIGNED,\n self::STATUS_BOT_INSTANCE_STARTED,\n self::STATUS_DUPLICATED,\n ];\n\n public static array $enumProviders = [\n self::PROVIDER_TWILIO,\n self::PROVIDER_OUTREACH,\n self::PROVIDER_ZOOM_BOT,\n self::PROVIDER_SALESLOFT,\n self::PROVIDER_AIRCALL,\n self::PROVIDER_JUSTCALL,\n self::PROVIDER_GOOGLE_MEET,\n self::PROVIDER_GONG,\n self::PROVIDER_HUBSPOT,\n self::PROVIDER_CLOSE,\n self::PROVIDER_TEAMS,\n self::PROVIDER_SALESFORCE,\n self::PROVIDER_GROOVE,\n self::PROVIDER_XANT,\n self::PROVIDER_GOOGLE,\n self::PROVIDER_OFFICE,\n self::PROVIDER_NATTERBOX,\n self::PROVIDER_RINGCENTRAL,\n self::PROVIDER_RINGCENTRAL_VIDEO,\n self::PROVIDER_GOTOMEETING,\n self::PROVIDER_DEMODESK,\n self::PROVIDER_DIALPAD,\n self::PROVIDER_ZOOM_PHONE,\n self::PROVIDER_CLOUDCALL,\n self::PROVIDER_CLOUDCALL_US,\n self::PROVIDER_EIGHT_BY_EIGHT,\n self::PROVIDER_EIGHT_BY_EIGHT_CA,\n self::PROVIDER_EIGHT_BY_EIGHT_AP,\n self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,\n self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,\n self::PROVIDER_CONNECT_AND_SELL,\n self::PROVIDER_CLOUD_TALK,\n self::PROVIDER_AMAZON_CONNECT,\n self::PROVIDER_VONAGE,\n self::PROVIDER_TALKDESK,\n self::PROVIDER_TWILIO_FLEX,\n self::PROVIDER_TWILIO_FLEX_DIRECT,\n self::PROVIDER_TWILIO_VIDEO,\n self::PROVIDER_AVAYA,\n self::PROVIDER_TELUS,\n self::PROVIDER_FIVE_NINE,\n self::PROVIDER_APOLLO,\n self::PROVIDER_ORUM,\n self::PROVIDER_BLOOBIRDS,\n ];\n\n public static $enumRecordingStates = [\n self::RECORDING_OFF, // Default state\n self::RECORDING_IN_PROGRESS,\n self::RECORDING_PAUSED,\n self::RECORDING_STOPPED,\n self::RECORDING_RECORDED,\n self::RECORDING_FAILED,\n ];\n\n // @Important:\n // This collection is not used anywhere, and is fully duplicated by the Channels const.\n // Validate if it is referred somehow via the enum trait, and if not, remove it entirely.\n // An even better strategy will be to move all those constants to a dedicated class\n protected array $enumTypes = [\n self::TYPE_SOFTPHONE,\n self::TYPE_SOFTPHONE_INBOUND,\n self::TYPE_CONFERENCE,\n self::TYPE_SMS_INBOUND,\n self::TYPE_SMS_OUTBOUND,\n self::TYPE_EMAIL_INBOUND,\n self::TYPE_EMAIL_OUTBOUND,\n ];\n\n protected static $enumFailedStatuses = [\n self::STATUS_NO_ANSWER,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n self::STATUS_CANCELLED,\n ];\n\n protected $table = 'activities';\n\n protected $fillable = [\n // Type of activity.\n 'type', // @todo refactor to `channel`\n // The activity type.\n 'playbook_category_id',\n // User who hosts the activity.\n 'user_id',\n // Related Lead record (if applicable)\n 'lead_id',\n // Related Account record (if applicable)\n 'account_id',\n // Related Contact record (if applicable)\n 'contact_id',\n // Related Opportunity record (if applicable)\n 'opportunity_id',\n // Stage of activity.\n 'stage_id',\n // Value of opportunity.\n 'value',\n // If the activity relates to a CRM task.\n 'crm_provider_id',\n // If the activity was created through an external device.\n 'device_id',\n // the activity's language code\n 'language',\n // transcription id\n 'transcription_id',\n // Duration of the call, with microseconds precision.\n 'duration',\n // One of enumStatuses above.\n 'status',\n // Have we reminded them to log the call?\n 'log_reminder_sent_at',\n // If activity is private or inter-org, flagged here.\n 'is_internal',\n // Managers and above can mark a call as private, to exclude it from other team members\n 'is_private',\n 'is_processed',\n // Boolean for this activity being instant invite handled.\n 'is_instant_invite',\n // If activity is in recording state, flagged here.\n 'recording_state',\n // If activity recording is overidden from default.\n 'recording_preference',\n // if recording did (not) happen, why that is\n 'recording_reason_code',\n // Average score, updated during\n 'average_score',\n // Summary that the organizer has taken after the call.\n 'summary',\n // Subject of the activity, usually taken from calendar event.\n 'title',\n // Description of the activity, usually taken from calendar event.\n 'description',\n // Start time, usually taken from calendar event.\n 'scheduled_start_time',\n // End time, usually taken from calendar event.\n 'scheduled_end_time',\n // When the call actually started.\n 'actual_start_time',\n // When the call actually ended.\n 'actual_end_time',\n // SMS: Message reference\n 'telephony_provider_id',\n // SMS: Participant who sent message\n 'from_participant_id',\n // SMS: Participant who should receive the message\n 'to_participant_id',\n // When an external guest joins an organizers meeting room and the organizer is not present,\n // send them an SMS notification that someone has joined.\n 'organizer_notified_at',\n // where was the activity imported from\n 'source',\n // The id in the source system (e.g. the bot id in Recall.ai)\n 'external_id',\n // The provider, by default it is twilio.\n 'provider',\n // Meeting location url\n 'location',\n // The snapshot for displaying a poster image.\n 'poster_path',\n 'crm_configuration_id',\n // If there is an automated message that the conversation is being recorded\n 'has_recording_prompt',\n // If the activity is being live-streamed\n 'on_air',\n 'calendar_event_id',\n ];\n\n protected $appends = [\n 'id_string',\n 'organizer',\n ];\n\n protected $hidden = [\n 'uuid',\n ];\n\n protected $visible = [\n 'id_string',\n 'type',\n 'duration',\n 'average_score',\n 'status',\n 'log_reminder_sent_at',\n 'title',\n 'description',\n 'is_internal',\n 'scheduled_start_time',\n 'scheduled_end_time',\n 'actual_start_time',\n 'actual_end_time',\n 'user',\n 'category',\n 'account',\n 'contact',\n 'opportunity',\n 'lead',\n 'stage',\n 'stats',\n 'participants',\n 'playlists',\n 'tracks',\n 'comments',\n 'plays',\n 'coachingFeedbacks',\n 'shares',\n 'favorites',\n 'language',\n 'transcription',\n 'is_private',\n 'is_instant_invite',\n 'on_air',\n 'calendar_event_id',\n ];\n\n protected function casts(): array\n {\n return [\n 'scheduled_start_time' => 'datetime',\n 'scheduled_end_time' => 'datetime',\n 'actual_start_time' => 'datetime',\n 'actual_end_time' => 'datetime',\n 'organizer_notified_at' => 'datetime',\n 'log_reminder_sent_at' => 'datetime',\n 'is_internal' => 'boolean',\n 'duration' => 'integer',\n 'average_score' => 'decimal:2',\n 'is_private' => 'boolean',\n 'is_processed' => 'boolean',\n 'is_instant_invite' => 'boolean',\n 'value' => 'decimal:2',\n 'recording_preference' => 'boolean',\n 'recording_reason_code' => 'integer',\n 'has_recording_prompt' => 'boolean',\n 'on_air' => 'integer',\n ];\n }\n\n protected static function boot()\n {\n parent::boot();\n\n static::updated(static function (Activity $activity) {\n // If activity is about to start (pending, ringing, in-progress) or event is scheduled in less than 1 week\n if (in_array($activity->status, [Activity::STATUS_PENDING, Activity::STATUS_RINGING, Activity::STATUS_IN_PROGRESS], true) ||\n ($activity->scheduled_start_time && (int) $activity->scheduled_start_time->diffInWeeks(new Carbon(), true) < 1)) {\n if ($activity->isDirty('status')) {\n event(new StatusUpdated($activity));\n }\n\n if ($activity->isDirty('stage_id')) {\n event(new StageUpdated($activity));\n }\n\n if ($activity->isDirty(['lead_id', 'account_id', 'contact_id'])) {\n event(new ProspectUpdated($activity));\n }\n\n if ($activity->isDirty('opportunity_id')) {\n event(new ActivityUpdated($activity, 'activity.opportunity-updated', Auth::user()));\n }\n\n if ($activity->isDirty('title')) {\n event(new TitleUpdated($activity));\n }\n }\n\n if ($activity->isDirty('playbook_category_id')) {\n event(new ActivityTypeUpdated($activity));\n }\n });\n\n static::deleted(static function (Activity $activity) {\n // Hard delete associated playlistActivities\n $activity->playlistActivities()->delete();\n });\n }\n\n public function getOrganizerAttribute(): ?Participant\n {\n $participant = $this->participants()->where('user_id', $this->user_id)->first();\n\n if (! $participant instanceof Participant && $participant !== null) {\n throw new RuntimeException(sprintf('$participant must be an instance of \"%s\" or null', Participant::class));\n }\n\n return $participant;\n }\n\n public function getFormattedValueAttribute()\n {\n $currencyCode = 'USD';\n if ($this->opportunity) {\n $currencyCode = $this->opportunity->getCurrencyCode();\n }\n\n $formatter = new CurrencyFormatter();\n $formatter->setTextAttribute(NumberFormatter::CURRENCY_CODE, $currencyCode);\n $formatter->setAttribute(NumberFormatter::MAX_FRACTION_DIGITS, 0);\n\n return $formatter->format($this->value, $currencyCode);\n }\n\n public function getProspectNameAttribute(): ?string\n {\n $prospectName = null;\n\n if ($this->lead_id) {\n $prospectName = $this->lead->name;\n } elseif ($this->contact_id) {\n $prospectName = $this->contact->name;\n } elseif ($this->account_id) {\n $prospectName = $this->account->name;\n }\n\n return $prospectName;\n }\n\n public function getProspectName(): ?string\n {\n /** @var string|null */\n return $this->getAttribute('prospect_name');\n }\n\n /**\n * Get activity title depending on prospect or title\n */\n public function getActivityTitleAttribute(): ?string\n {\n $activityTitle = null;\n if ($this->prospect && $this->prospect->getName()) {\n if ($this->account_id) {\n $activityTitle = $this->account->name;\n } elseif ($this->lead_id) {\n $activityTitle = $this->lead->company;\n } elseif ($this->contact_id) {\n $activityTitle = $this->contact->account ? $this->contact->account->name : $this->contact->name;\n }\n } elseif ($this->title) {\n $activityTitle = $this->title;\n }\n\n return $activityTitle;\n }\n\n public function wasRecentlyCreated(): bool\n {\n return $this->wasRecentlyCreated;\n }\n\n public function getProspectTypeAttribute()\n {\n $prospectType = null;\n\n if ($this->lead_id) {\n $prospectType = 'Lead';\n } elseif ($this->contact_id) {\n $prospectType = 'Contact';\n } elseif ($this->account_id) {\n $prospectType = 'Account';\n }\n\n return $prospectType;\n }\n\n /**\n * Return the best match for prospect. Results are in the following order of priority:\n * 1. Lead\n * 2. Contact\n * 3. Account\n * 4. NULL\n */\n public function getProspectAttribute(): ?ProspectInterface\n {\n if ($this->hasLead()) {\n return $this->getLead();\n }\n\n if ($this->hasContact()) {\n return $this->getContact();\n }\n\n if ($this->hasAccount()) {\n return $this->getAccount();\n }\n\n return null;\n }\n\n public function getTitleAttribute($value): ?string\n {\n return \\getActivityTitleAttribute(\n $this->user->name,\n $this->getType(),\n $value,\n $this->prospect->name ?? null,\n $this->from->national_phone_number ?? null\n );\n }\n\n public function getTitle(): ?string\n {\n return $this->getAttribute('title');\n }\n\n public function getSummary(): ?string\n {\n return $this->getAttribute('summary');\n }\n\n public function isInternal(): bool\n {\n return $this->getAttribute('is_internal');\n }\n\n public function getIsPrivate(): bool\n {\n return $this->getAttribute('is_private');\n }\n\n public function getDescription(): ?string\n {\n return $this->getAttribute('description');\n }\n\n public function hasTitle(): bool\n {\n return $this->getOriginal('title') !== null;\n }\n\n public function getPlayCountAttribute()\n {\n return $this->getPlaysCountAttribute();\n }\n\n public function getPlaysCountAttribute()\n {\n if (! isset($this->attributes['plays_count'])) {\n $this->loadCount('plays');\n }\n\n return $this->attributes['plays_count'];\n }\n\n public function getCommentCountAttribute()\n {\n return $this->getCommentsCountAttribute();\n }\n\n public function getCommentsCountAttribute()\n {\n if (! isset($this->attributes['comments_count'])) {\n $this->loadCount('comments');\n }\n\n return $this->attributes['comments_count'];\n }\n\n public function getVisibleCommentsCountAttribute()\n {\n if (! isset($this->attributes['visible_comments_count'])) {\n $activityCommentsService = app(ActivityCommentService::class);\n $user = Auth::user() instanceof User ? Auth::user() : null;\n $this->attributes['visible_comments_count'] = $activityCommentsService\n ->getVisibleCommentsCount($this, $user);\n }\n\n return $this->attributes['visible_comments_count'];\n }\n\n public function getShareCountAttribute()\n {\n return $this->getSharesCountAttribute();\n }\n\n public function getSharesCountAttribute()\n {\n if (! isset($this->attributes['shares_count'])) {\n $this->loadCount('shares');\n }\n\n return $this->attributes['shares_count'];\n }\n\n\n /**\n * Get the count of favorites playlists this activity appears in\n */\n public function getFavoriteCountAttribute(): int\n {\n return $this->getFavoritesCountAttribute();\n }\n\n public function getFavoritesCountAttribute()\n {\n if (! isset($this->attributes['favorites_count'])) {\n $this->loadCount('favorites');\n }\n\n return $this->attributes['favorites_count'];\n }\n\n public function getActiveParticipantsCountAttribute()\n {\n if (! isset($this->attributes['active_participants_count'])) {\n $this->loadCount('activeParticipants');\n }\n\n return $this->attributes['active_participants_count'];\n }\n\n public function getTracksWithTelephonyCountAttribute()\n {\n if (! isset($this->attributes['tracks_with_telephony_count'])) {\n $this->loadCount('tracksWithTelephony');\n }\n\n return $this->attributes['tracks_with_telephony_count'];\n }\n\n /**\n * @TEMP\n * $this->loadCount('tracksWithTelephony') throws null pointer exception\n */\n public function countTracksWithTelephony(): int\n {\n return $this->tracks()->whereNotNull('telephony_provider_id')->count();\n }\n\n public function getDuration(): float\n {\n return $this->getAttribute('duration');\n }\n\n public function getDurationForHumansAttribute()\n {\n return Carbon::now()->subSeconds($this->duration)->diffForHumans(now(), true);\n }\n\n public function getDurationForHumansShortAttribute(): string\n {\n return Carbon::now()->subSeconds($this->duration)->diffForHumans(now(), true, true);\n }\n\n public function hasRecordingPreference(): bool\n {\n return $this->getAttribute('recording_preference') !== null;\n }\n\n public function getRecordingPreference()\n {\n return $this->getAttribute('recording_preference');\n }\n\n /** @return BelongsTo<User, self> */\n public function user(): BelongsTo\n {\n return $this->belongsTo(User::class)->with('group');\n }\n\n public function device()\n {\n return $this->belongsTo(Device::class);\n }\n\n public function category()\n {\n return $this->belongsTo(PlaybookCategory::class, 'playbook_category_id');\n }\n\n public function getCategory(): ?PlaybookCategory\n {\n return $this->getAttribute('category');\n }\n\n public function getPlaybookCategoryId(): ?int\n {\n return $this->getAttribute('playbook_category_id');\n }\n\n public function hasStats(): bool\n {\n return $this->getAttribute('stats') !== null;\n }\n\n public function getStats(): ?Stats\n {\n return $this->getAttribute('stats');\n }\n\n public function stats(): HasOne\n {\n return $this->hasOne(Stats::class);\n }\n\n public function participantStats(): Eloquent\\Relations\\HasManyThrough\n {\n return $this->hasManyThrough(\n Models\\Participant\\ParticipantStats::class,\n Participant::class,\n 'activity_id',\n 'participant_id'\n );\n }\n\n public function getParticipantStats(): Eloquent\\Collection\n {\n return $this->getAttribute('participantStats');\n }\n\n public function account()\n {\n return $this->belongsTo(Account::class);\n }\n\n public function contact()\n {\n return $this->belongsTo(Contact::class)->with(['account']);\n }\n\n public function lead()\n {\n return $this->belongsTo(Lead::class)->with(['stage', 'recordType']);\n }\n\n /**\n * @return BelongsTo<Opportunity, self>\n */\n public function opportunity(): BelongsTo\n {\n /** @var BelongsTo<Opportunity, self> */\n return $this->belongsTo(Opportunity::class);\n }\n\n public function stage()\n {\n return $this->belongsTo(Stage::class);\n }\n\n /**\n * @return HasMany<Session>\n */\n public function sessions(): HasMany\n {\n return $this->hasMany(Session::class);\n }\n\n /**\n * @return HasMany|ParticipantSpeech[]|Eloquent\\Collection\n */\n public function participantSpeeches()\n {\n return $this->hasMany(ParticipantSpeech::class);\n }\n\n public function getParticipantSpeeches(): Eloquent\\Collection\n {\n return $this->getAttribute('participantSpeeches');\n }\n\n /**\n * @return HasMany|Log[]|Eloquent\\Collection\n */\n public function logs()\n {\n return $this->hasMany(Log::class);\n }\n\n /**\n * @return HasMany|Moment[]|Eloquent\\Collection\n */\n public function moments()\n {\n return $this->hasMany(Moment::class);\n }\n\n /**\n * @return HasMany|Note[]|Eloquent\\Collection\n */\n public function notes()\n {\n return $this->hasMany(Note::class);\n }\n\n /**\n * @return Eloquent\\Collection|Note[]\n */\n public function getNotes(): Eloquent\\Collection\n {\n return $this->getAttribute('notes');\n }\n\n /**\n * @return HasMany|Message[]|Eloquent\\Collection\n */\n public function messages()\n {\n return $this->hasMany(Message::class);\n }\n\n public function coachingMessages(): HasMany\n {\n return $this->hasMany(Message::class)\n ->where('is_private', 1);\n }\n\n public function getCoachingMessages(): Eloquent\\Collection\n {\n return $this->getAttribute('coachingMessages');\n }\n\n public function participants(): HasMany\n {\n return $this->hasMany(Participant::class);\n }\n\n public function getSnapshots(): Eloquent\\Collection\n {\n return $this->getAttribute('snapshots');\n }\n\n /** @return HasMany<Track> */\n public function tracks(): HasMany\n {\n return $this->hasMany(Track::class);\n }\n\n public function tracksWithTelephony(): HasMany\n {\n return $this->hasMany(Track::class)->whereNotNull('telephony_provider_id');\n }\n\n public function getTracksWithTelephony(): Eloquent\\Collection\n {\n return $this->getAttribute('tracksWithTelephony');\n }\n\n /** @return Collection|Track[] */\n public function getTracks(): Eloquent\\Collection\n {\n return $this->getAttribute('tracks');\n }\n\n public function masterTrack(): HasOne\n {\n return $this->hasOne(Track::class)->where('is_master', 1)\n ->whereIn('format', [Track::FORMAT_WAV, Track::FORMAT_M3U8])\n ->latest();\n }\n\n public function getMasterTrack(): ?Track\n {\n /** @var Track|null */\n return $this->getAttribute('masterTrack');\n }\n\n public function transcription(): Eloquent\\Relations\\BelongsTo\n {\n return $this->belongsTo(Transcription::class, 'transcription_id');\n }\n\n public function findTranscriptionPromptSummaries(): Collection\n {\n $transcriptionId = $this->getTranscriptionId();\n if (is_null($transcriptionId)) {\n return new Collection();\n }\n\n return Models\\AiPrompt::query()\n ->where('transcription_id', $transcriptionId)\n ->get();\n }\n\n public function getTranscription(): Transcription\n {\n return $this->getAttribute('transcription');\n }\n\n public function hasTranscription(): bool\n {\n return $this->getAttribute('transcription') !== null;\n }\n\n public function setTranscriptionId(int $transcriptionId): Activity\n {\n $this->setAttribute('transcription_id', $transcriptionId);\n\n return $this;\n }\n\n public function unsetTranscriptionId(): self\n {\n $this->setAttribute('transcription_id', null);\n\n return $this;\n }\n\n public function getTranscriptionId(): ?int\n {\n return $this->getAttribute('transcription_id');\n }\n\n /** @deprecated */\n public function hasTranscriptionId(): bool\n {\n return $this->getAttribute('transcription_id') !== null;\n }\n\n public function coachRequests()\n {\n return $this->hasMany(CoachRequest::class);\n }\n\n public function availabilityNotifications()\n {\n return $this->hasMany(AvailabilityNotification::class);\n }\n\n public function processingStates()\n {\n return $this->hasMany(Models\\Activity\\ActivityProcessingState::class);\n }\n\n public function uploadSettings()\n {\n return $this->hasMany(ActivityUploadSetting::class);\n }\n\n public function comments()\n {\n return $this->hasMany(Comment::class);\n }\n\n public function getComments(): Eloquent\\Collection\n {\n return $this->getAttribute('comments');\n }\n\n public function visibleComments()\n {\n $rel = $this->hasMany(Comment::class);\n // Doesn't have auth()->user() in some tests, breaks the build\n if ($user = auth()->user()) {\n return $rel->visibleThreads($user->id);\n }\n\n return $rel;\n }\n\n public function snapshots(): HasMany\n {\n return $this->hasMany(Snapshot::class);\n }\n\n public function calendarEvent()\n {\n return $this->belongsTo(CalendarEvent::class);\n }\n\n public function getCalendarEvent(): ?CalendarEvent\n {\n return $this->getAttribute('calendarEvent');\n }\n\n public function latestCoachingFeedbacks(): HasMany\n {\n return $this->hasMany(CoachingFeedback::class)->latest();\n }\n\n public function playlists(): BelongsToMany\n {\n return $this->belongsToMany(Playlist::class, 'playlist_activities')\n ->withPivot('id', 'uuid', 'user_id', 'start_time', 'end_time')\n ->using(PlaylistActivity::class)\n ->withTimestamps();\n }\n\n public function coachingFeedbacks(): HasMany\n {\n return $this->hasMany(CoachingFeedback::class);\n }\n\n /**\n * @return Eloquent\\Collection|CoachingFeedback[]\n */\n public function getCoachingFeedback(?int $visibility = null): Eloquent\\Collection\n {\n $feedbacks = $this->coachingFeedbacks();\n if ($visibility !== null) {\n $feedbacks = $feedbacks->where('visibility', $visibility);\n }\n\n return $feedbacks->get();\n }\n\n /** @return Eloquent\\Collection<int, PlaylistActivity> */\n public function favoritedBy(User $user): Eloquent\\Collection\n {\n return $this->favorites()->where('user_id', $user->getId())->get();\n }\n\n /**\n * Checks whether consumer has added this activity to their favorites playlist\n * In addition a default playlist gets created if not already present\n */\n public function wasFavoritedBy(User $user): bool\n {\n $playlist = $user->favoritePlaylist();\n\n return $playlist\n ->activities()\n ->where('activity_id', '=', $this->getId())\n ->exists();\n }\n\n /**\n * @return HasMany<PlaylistActivity>\n */\n public function playlistActivities(): HasMany\n {\n return $this->hasMany(PlaylistActivity::class);\n }\n\n /**\n * @return HasManyThrough<Playlist>\n */\n public function favoritePlaylists(): HasManyThrough\n {\n return $this->hasManyThrough(\n Playlist::class,\n PlaylistActivity::class,\n 'activity_id',\n 'id',\n 'id',\n 'playlist_id'\n )->where('is_default', 1);\n }\n\n /**\n * @return Eloquent\\Collection<int, Playlist>\n */\n public function getFavoritePlaylists(): Eloquent\\Collection\n {\n return $this->getAttribute('favoritePlaylists');\n }\n\n /**\n * Get activities from the default/favorite playlist\n *\n * @return Eloquent\\Builder|static\n */\n public function favorites()\n {\n return $this->playlistActivities()->whereHas('playlist', function ($query) {\n $query->where('is_default', 1);\n });\n }\n\n /**\n * @return Model|SubscriptionSet|null|object\n */\n public function subscribedBy(User $user)\n {\n if ($this->prospect === null) {\n return null;\n }\n\n return SubscriptionSet::select('activity_subscription_sets.*')\n ->where('user_id', $user->id)\n ->join('activity_subscriptions', function ($join) {\n $join\n ->on('subscription_set_id', '=', 'activity_subscription_sets.id');\n\n if ($this->account_id) {\n if ($this->opportunity_id) {\n $join\n ->where('followable_type', 'opportunity')\n ->where('followable_id', $this->opportunity_id);\n } else {\n $join\n ->where('followable_type', 'account')\n ->where('followable_id', $this->account_id);\n }\n } elseif ($this->contact_id) {\n $join\n ->where('followable_type', 'contact')\n ->where('followable_id', $this->contact_id);\n } elseif ($this->lead_id) {\n $join\n ->where('followable_type', 'lead')\n ->where('followable_id', $this->lead_id);\n }\n })\n ->first();\n }\n\n /**\n * @return array|Eloquent\\Builder[]|Eloquent\\Collection|SubscriptionSet[]\n */\n public function subscribers()\n {\n if ($this->prospect === null) {\n return [];\n }\n\n return SubscriptionSet::with(['subscriptions', 'user'])\n ->whereHas('subscriptions', function ($query) {\n if ($this->account_id) {\n if ($this->opportunity_id) {\n $query\n ->where('followable_type', 'opportunity')\n ->where('followable_id', $this->opportunity_id);\n } else {\n $query\n ->where('followable_type', 'account')\n ->where('followable_id', $this->account_id);\n }\n } elseif ($this->contact_id) {\n $query\n ->where('followable_type', 'contact')\n ->where('followable_id', $this->contact_id);\n } elseif ($this->lead_id) {\n $query\n ->where('followable_type', 'lead')\n ->where('followable_id', $this->lead_id);\n } else {\n // Nothing to join on?\n // refactor - use Jiminny specific exception\n throw new InvalidArgumentException('Cannot join on a specific customer filter.');\n }\n })\n ->whereHas('user', function ($query) {\n $query\n ->where('team_id', $this->user->team_id)\n ->where('status', User::STATUS_ACTIVE);\n })\n ->get();\n }\n\n /**\n * @return HasMany|Builder|Eloquent\\Collection|Play[]\n */\n public function plays()\n {\n return $this->hasMany(Play::class);\n }\n\n public function getPlays(): Eloquent\\Collection\n {\n return $this->getAttribute('plays');\n }\n\n public function playsBy(User $user)\n {\n /** @var Builder $builder */\n $builder = $this->plays()->where('user_id', $user->id);\n\n return $builder->get();\n }\n\n /**\n * Check if activity was played by a user\n */\n public function wasPlayedBy(User $user): bool\n {\n return $this->plays()->where('user_id', $user->id)->exists();\n }\n\n public function shares()\n {\n return $this->hasMany(Share::class);\n }\n\n /** @return BelongsTo<Participant, self> */\n public function from(): BelongsTo\n {\n return $this->belongsTo(Participant::class, 'from_participant_id');\n }\n\n /** @return BelongsTo<Participant, self> */\n public function to(): BelongsTo\n {\n return $this->belongsTo(Participant::class, 'to_participant_id');\n }\n\n /**\n * Get all of the connections through the participants.\n */\n public function connections()\n {\n return $this->hasManyThrough(\n Connection::class,\n Participant::class,\n 'activity_id',\n 'participant_id'\n );\n }\n\n public function getConnections(): Eloquent\\Collection\n {\n return $this->getAttribute('connections');\n }\n\n /**\n * Get all of the shares through the participants.\n */\n public function participantShares()\n {\n return $this->hasManyThrough(\n Participant\\Share::class,\n Participant::class,\n 'activity_id',\n 'participant_id'\n );\n }\n\n public function getParticipantShares(): Eloquent\\Collection\n {\n return $this->getAttribute('participantShares');\n }\n\n public function topicTriggers(): HasMany\n {\n return $this->hasMany(TopicTrigger::class);\n }\n\n public function activityScorecardRuleTriggers(): HasMany\n {\n return $this->hasMany(Models\\Scorecard\\ActivityScorecardRuleTrigger::class);\n }\n\n public function activityScorecardRules(): HasMany\n {\n return $this->hasMany(Models\\Scorecard\\ActivityScorecardRule::class);\n }\n\n public function questions(): HasMany\n {\n return $this->hasMany(Question::class);\n }\n\n /**\n * Get all the custom data attached to it.\n */\n public function data(): HasMany\n {\n return $this->hasMany(FieldData::class);\n }\n\n public function getData(): Eloquent\\Collection\n {\n /** @var Eloquent\\Collection */\n return $this->getAttribute('data');\n }\n\n #[Scope]\n protected function heldBetween($query, Carbon $start, Carbon $end)\n {\n // Sanity check.\n $from = min($start, $end);\n $until = max($start, $end);\n\n return $query\n ->where('actual_start_date', '>=', $from)\n ->where('actual_end_date', '<=', $until);\n }\n\n #[Scope]\n protected function scheduledBetween($query, Carbon $start, Carbon $end)\n {\n // Sanity check.\n $from = min($start, $end);\n $until = max($start, $end);\n\n return $query\n ->where('scheduled_start_date', '>=', $from)\n ->where('scheduled_end_date', '<=', $until);\n }\n\n /**\n * @param Builder<self> $query\n *\n * @return Builder<self>\n */\n #[Scope]\n protected function forTeam(Builder $query, int $teamId): Builder\n {\n /** @var Builder<self> */\n return $query->whereHas('user', static function (Builder $query) use ($teamId): void {\n $query->where('team_id', $teamId);\n });\n }\n\n /**\n * @param Builder<self> $query\n *\n * @return Builder<self>\n */\n #[Scope]\n protected function inOpenDeals(Builder $query): Builder\n {\n /** @var Builder<self> */\n return $query->whereHas(\n 'opportunity',\n static fn (Builder $query): Builder => $query\n ->where('is_closed', false)\n ->where('deleted_at', '=', null),\n );\n }\n\n /**\n * @param Builder<self> $query\n *\n * @return Builder<self>\n */\n #[Scope]\n protected function notInOpenDeals(Builder $query): Builder\n {\n /** @var Builder<self> */\n return $query->where(\n static fn (Builder $query): Builder => $query->whereNull('opportunity_id')\n ->orWhereHas(\n 'opportunity',\n static fn (Builder $query): Builder => $query->where('is_closed', true),\n )\n ->orWhereHas(\n 'opportunity',\n static fn (Builder $query): Builder => $query->withTrashed()->where('deleted_at', '!=', null),\n ),\n );\n }\n\n /**\n * Finds a participant and updates it with data. If participant doesn't exist creates a new participant from data.\n *\n * @param array $data participant data used to identify the participant and update it\n * @param bool $enterRoom true if participant is entering the room. false if we just want to update some participant data\n * @param Carbon|null $enterTime if $enterNow is true then this is the join time when the actual enter has occurred\n */\n public function updateOrCreateParticipant(\n array $data,\n bool $enterRoom = true,\n ?Carbon $enterTime = null,\n bool $nameMatching = false,\n ): Participant {\n $search = [];\n $participant = null;\n\n if (isset($data['user_id'])) {\n // Check if they already exist based on their ID.\n $search['user_id'] = $data['user_id'];\n } elseif (isset($data['provider_id'])) {\n $search['provider_id'] = $data['provider_id'];\n } elseif ($nameMatching && isset($data['name'])) {\n $search['name'] = $data['name'];\n }\n\n if (! empty($data['email'])) {\n $search['email'] = $data['email'];\n\n // If we have their email, this should be unique enough to lookup (e.g. calendar event based participant).\n unset($search['provider_id']);\n }\n\n // Search by phone number only in case nothing else is available to search by.\n if (array_key_exists('phone_number', $data) && empty($search)) {\n $search['phone_number'] = $data['phone_number'];\n }\n\n if (! empty($search)) {\n // Do a lookup now to see if we have a match on the provided data.\n $lookup = array_map(static function ($key, $value): array {\n return [$key, $value];\n }, array_keys($search), $search);\n\n $participant = $this->participants()->withTrashed()->where($lookup)->first();\n }\n\n // Do a partial match on the name and search in the team members.\n if (! $participant instanceof Participant && $nameMatching && ! empty($data['name'])) {\n $participantMatcher = app(MeetingBot\\Service\\ParticipantMatcher::class);\n\n if (! $participantMatcher instanceof MeetingBot\\Service\\ParticipantMatcher) {\n throw new LogicException('Expecting ParticipantMatcher service instance');\n }\n\n $participant = $participantMatcher->match($this, $data['name']);\n\n // If we've found good participant, avoid data overwrite in `$participant->fill($data)` below.\n if ($participant instanceof Models\\Participant && $participant->hasName()) {\n unset($data['name']); // Thoughts: should we unset also $data['user_id'] and $data['email'] ?\n }\n }\n\n if (! $participant instanceof Participant) {\n // If no match, create a new participant.\n if (empty($search)) {\n $participant = $this->participants()->create();\n } else {\n // If no match, create a new participant but avoid creating duplicates\n $participant = $this->participants()->withTrashed()->firstOrNew($search);\n }\n }\n\n // If we have just recycled a deleted participant\n if ($participant->trashed()) {\n $participant->deleted_at = null;\n }\n\n // Deal with the case when calendar syncs the event while it's in progress.\n // We should prevent change of the participant name, because speeches mapping will fail.\n if ($enterRoom === false\n && $this->isInProgress()\n && $participant->hasName()\n && isset($data['name'])\n && $data['name'] !== $participant->getName()\n ) {\n unset($data['name']);\n }\n\n // Upsert with new data.\n $participant->fill($data);\n\n if ($enterRoom) {\n if ($enterTime === null) {\n $enterTime = now();\n }\n\n // Participant enters room for the first time\n if ($participant->enter_time === null) {\n $participant->enter_time = $enterTime;\n }\n\n // If there is an exit time and it's prior to new enter_time\n if ($participant->exit_time && $participant->exit_time->lt($enterTime)) {\n // Participant has re-joined\n $participant->exit_time = null;\n }\n }\n\n $participant->save();\n\n return $participant;\n }\n\n /**\n * Updates participant CRM data\n *\n * @param array{\n * Lead|null,\n * Account|null,\n * Opportunity|null,\n * Contact|null,\n * Stage|null,\n * string|null\n *} $records\n * @param Participant $participant participant the CRM data is associated with\n */\n public function updateParticipantCrmData(array $records, Participant $participant): void\n {\n // Extract the records.\n [$lead, , , $contact] = $records;\n\n $resolver = $this->getUpdateCrmDataResolver();\n $strategy = $resolver->resolveForParticipant($lead, $contact);\n\n if ($strategy == UpdateCrmDataByStrategy::Lead) {\n if (! $participant->hasName()) {\n $participant->name = $lead->name;\n }\n\n if (! $participant->hasEmailAddress()) {\n $participant->email = $lead->email;\n }\n\n if (! $participant->hasPhoneNumber()) {\n $participant->phone_number = $lead->phone;\n }\n\n $participant->lead_id = $lead->id;\n $participant->save();\n } elseif ($strategy == UpdateCrmDataByStrategy::Contact) {\n if (! $participant->hasName()) {\n $participant->name = $contact->name;\n }\n\n if (! $participant->hasEmailAddress()) {\n $participant->email = $contact->email;\n }\n\n if (! $participant->hasPhoneNumber()) {\n $participant->phone_number = $contact->phone;\n }\n\n $participant->contact_id = $contact->id;\n $participant->save();\n }\n }\n\n /**\n * Updates activity CRM data\n *\n * @param array{\n * Lead|null,\n * Account|null,\n * Opportunity|null,\n * Contact|null,\n * Stage|null,\n * string|null\n *} $records\n */\n public function updateActivityCrmData(array $records): void\n {\n // Extract the records.\n [$lead, $account, $opportunity, $contact, $stage] = $records;\n\n $resolver = $this->getUpdateCrmDataResolver();\n $strategy = $resolver->resolveForActivity($lead, $contact, $account);\n\n if ($strategy == UpdateCrmDataByStrategy::Lead) {\n // Also update the parent activity if required, checking we don't create a mixed lead/account record.\n if ($this->account_id === null && $this->contact_id === null && $this->lead_id === null) {\n $this->lead_id = $lead->id;\n\n if ($this->stage_id === null && $stage) {\n $this->stage_id = $stage->id;\n }\n\n $this->save();\n }\n } elseif ($strategy == UpdateCrmDataByStrategy::Contact) {\n // Also update the parent activity if required, checking we don't create a mixed lead/account record.\n $this->lead_id = null;\n if ($this->stage && $this->stage->getType() === Stage::TYPE_LEAD) {\n $this->stage_id = null;\n }\n\n // Don't trust previous matched account_id as it might have been changed in the CRM\n if ($account && $account->id !== $this->account_id) {\n $this->account_id = $account->id;\n }\n\n if ($this->stage_id === null && $stage) {\n $this->stage_id = $stage->id;\n }\n\n if ($opportunity && $this->opportunity_id !== $opportunity->id) {\n $this->opportunity_id = $opportunity->id;\n }\n\n if ($opportunity && $this->value !== $opportunity->value) {\n $this->value = $opportunity->value;\n }\n\n // Always set contact_id when available, regardless of account_id status\n if ($this->contact_id === null && $contact) {\n $this->contact_id = $contact->id;\n }\n\n $this->save();\n } elseif ($strategy == UpdateCrmDataByStrategy::Account && $this->account_id === null) {\n // Also update the parent activity if required, checking we don't create a mixed lead/account record.\n $this->lead_id = null;\n if ($this->stage && $this->stage->getType() === Stage::TYPE_LEAD) {\n $this->stage_id = null;\n }\n\n // Update the account and opportunity on the activity record if possible.\n $this->account_id = $account->id;\n\n if ($this->stage_id === null && $stage) {\n $this->stage_id = $stage->id;\n }\n\n if ($this->opportunity_id === null && $opportunity) {\n $this->opportunity_id = $opportunity->id;\n $this->value = $opportunity->value;\n }\n\n $this->save();\n }\n }\n\n public function getActivityProspectData(): array\n {\n return [\n 'lead' => $this->lead_id,\n 'contact' => $this->contact_id,\n 'account' => $this->account_id,\n 'opportunity' => $this->opportunity_id,\n 'stage' => $this->stage_id,\n ];\n }\n\n public function isOrganizer(User $user): bool\n {\n return $this->user_id && $this->user_id === $user->id;\n }\n\n public function isJoinable(): bool\n {\n return \\in_array($this->status, [\n self::STATUS_SCHEDULED,\n self::STATUS_PENDING,\n self::STATUS_RINGING,\n self::STATUS_IN_PROGRESS,\n ], true);\n }\n\n public function isAttemptedForBotJoin(): bool\n {\n return in_array($this->getAttribute('status'), self::MEETING_BOT_JOIN_ATTEMPTED, true);\n }\n\n /**\n * Check if the activity can be saved to CRM (manual or autolog)\n */\n public function isLoggable(): bool\n {\n if ($this->getUser()->getTeam()->hasFeature(FeatureEnum::SIDEKICK_SETTINGS)) {\n $sidekickService = app(SidekickService::class);\n\n if (! $sidekickService->isSidekickEnabledForUser($this->getUser())) {\n return false;\n }\n }\n\n // If we don't know the activity type, don't try to log.\n if ($this->playbook_category_id === null) {\n return false;\n }\n\n if ($this->user->crm_required === false) {\n return false;\n }\n\n // Don't prompt for internal meetings.\n if ($this->is_internal) {\n return false;\n }\n\n // If we don't know who we are trying to log to, don't try to log.\n if ($this->prospect === null) {\n return false;\n }\n\n $validStatus = false;\n switch ($this->type) {\n case self::TYPE_SOFTPHONE:\n case self::TYPE_SOFTPHONE_INBOUND:\n $validStatus = true;\n\n break;\n case self::TYPE_CONFERENCE:\n $validStatus = in_array($this->status, [\n self::STATUS_BUSY,\n self::STATUS_NO_ANSWER,\n self::STATUS_COMPLETED,\n self::STATUS_CANCELLED,\n ], true);\n\n break;\n case self::TYPE_SMS_INBOUND:\n case self::TYPE_SMS_OUTBOUND:\n $validStatus = in_array($this->status, [\n self::STATUS_QUEUED,\n self::STATUS_SENT,\n self::STATUS_UNDELIVERED,\n self::STATUS_DELIVERED,\n self::STATUS_RECEIVED,\n ], true);\n\n break;\n }\n\n // Depending on the activity channel, we should not try to log.\n return $validStatus;\n }\n\n public function isScheduled(): bool\n {\n return $this->status === self::STATUS_SCHEDULED;\n }\n\n public function scheduledDuration(): int\n {\n if ($this->scheduled_start_time && $this->scheduled_end_time) {\n return $this->scheduled_end_time->timestamp - $this->scheduled_start_time->timestamp;\n }\n\n return 0;\n }\n\n public function isPending(): bool\n {\n return $this->status === self::STATUS_PENDING;\n }\n\n public function isCompleted(): bool\n {\n return $this->status === self::STATUS_COMPLETED;\n }\n\n public function isRinging(): bool\n {\n return $this->status === self::STATUS_RINGING;\n }\n\n public function isInProgress(): bool\n {\n return $this->status === self::STATUS_IN_PROGRESS;\n }\n\n public function isBusy(): bool\n {\n return $this->status === self::STATUS_BUSY;\n }\n\n public function isNoAnswer(): bool\n {\n return $this->status === self::STATUS_NO_ANSWER;\n }\n\n public function isFailed(): bool\n {\n return $this->status === self::STATUS_FAILED;\n }\n\n public function isCancelled(): bool\n {\n return $this->status === self::STATUS_CANCELLED;\n }\n\n public function hasEnded(int $gracePeriodMinutes = 15): bool\n {\n if ($this->isCompleted()) {\n return true;\n }\n\n if (($this->isFailed() || $this->isCancelled()) && $this->hasScheduledEndTime()) {\n return $this->getScheduledEndTime()->addMinutes($gracePeriodMinutes)->isPast();\n }\n\n return false;\n }\n\n public function hasStarted(): bool\n {\n return $this->hasActualStartTime();\n }\n\n public function isOngoing(): bool\n {\n return $this->hasActualStartTime() && ! $this->hasActualEndTime();\n }\n\n public function isTypeSmsInbound(): bool\n {\n return $this->getType() === self::TYPE_SMS_INBOUND;\n }\n\n public function isTypeSmsOutbound(): bool\n {\n return $this->getType() === self::TYPE_SMS_OUTBOUND;\n }\n\n public function isTypeSoftPhone(): bool\n {\n return $this->getType() === self::TYPE_SOFTPHONE;\n }\n\n public function isTypeSoftphoneInbound(): bool\n {\n return $this->getType() === self::TYPE_SOFTPHONE_INBOUND;\n }\n\n public function isTypeConference(): bool\n {\n return $this->getType() === self::TYPE_CONFERENCE;\n }\n\n /**\n * Get a conference elapsed time in seconds.\n *\n * @return int seconds count\n */\n public function secondsTimeElapsed(): int\n {\n if (empty($this->actual_start_time)) {\n return 0;\n }\n\n // Get number of seconds since conference actual start time\n return (int) abs(Carbon::now()->diffInRealSeconds($this->actual_start_time));\n }\n\n /**\n * Get a conference elapsed time formatted as \"1:30:20\" if more than 1 hour or \"30:20\" otherwise.\n */\n public function formattedTimeElapsed(): string\n {\n // Get number of seconds since conference actual start time.\n $elapsedSeconds = $this->secondsTimeElapsed();\n $elapsedTime = Carbon::createFromTimestampUTC($elapsedSeconds);\n\n // Format conference start time.\n return $elapsedTime->format($elapsedSeconds < 3600 ? 'i:s' : 'G:i:s');\n }\n\n public function wasScheduled(): bool\n {\n return $this->calendarEvent !== null || in_array($this->getSource(), [self::SOURCE_OUTLOOK, self::SOURCE_GOOGLE]);\n }\n\n public function isInstant(): bool\n {\n return ! $this->wasScheduled();\n }\n\n /**\n * GETTERS AND SETTERS FOLLOW BELOW\n */\n\n public function getUuid(): string\n {\n return $this->getAttribute('id_string');\n }\n\n public function getId(): int\n {\n return $this->getAttribute('id');\n }\n\n public function getFromParticipantId(): ?int\n {\n return $this->getAttribute('from_participant_id');\n }\n\n public function getFromParticipant(): ?Participant\n {\n return $this->getAttribute('from');\n }\n\n public function getToParticipantId(): ?int\n {\n return $this->getAttribute('to_participant_id');\n }\n\n public function getToParticipant(): ?Participant\n {\n return $this->getAttribute('to');\n }\n\n public function hasScheduledStartTime(): bool\n {\n return $this->getAttribute('scheduled_start_time') !== null;\n }\n\n public function getScheduledStartTime(): ?Carbon\n {\n return $this->getAttribute('scheduled_start_time');\n }\n\n public function setScheduledStartTime(DateTimeInterface $dateTime): self\n {\n $this->setAttribute('scheduled_start_time', $dateTime);\n\n return $this;\n }\n\n public function getScheduledEndTime(): ?DateTimeInterface\n {\n return $this->getAttribute('scheduled_end_time');\n }\n\n public function hasScheduledEndTime(): bool\n {\n return $this->getAttribute('scheduled_end_time') !== null;\n }\n\n public function setScheduledEndTime(DateTimeInterface $dateTime): self\n {\n $this->setAttribute('scheduled_end_time', $dateTime);\n\n return $this;\n }\n\n public function getActualStartTime(): ?Carbon\n {\n return $this->getAttribute('actual_start_time');\n }\n\n public function hasActualStartTime(): bool\n {\n return $this->getAttribute('actual_start_time') !== null;\n }\n\n public function getActualEndTime(): ?Carbon\n {\n return $this->getAttribute('actual_end_time');\n }\n\n public function hasActualEndTime(): bool\n {\n return $this->getAttribute('actual_end_time') !== null;\n }\n\n public function getType(): ?string\n {\n return $this->getAttribute('type');\n }\n\n public function getStatus(): string\n {\n return $this->getAttribute('status');\n }\n\n public function setStatus(string $status): self\n {\n $this->setAttribute('status', $status);\n\n return $this;\n }\n\n public function setActualStartTime(DateTimeInterface $dateTime): self\n {\n $this->setAttribute('actual_start_time', $dateTime);\n\n return $this;\n }\n\n public function setActualEndTime(DateTimeInterface $dateTime, bool $shouldUpdateDuration = true): self\n {\n $this->setAttribute('actual_end_time', $dateTime);\n\n if (! $shouldUpdateDuration) {\n return $this;\n }\n\n return $this->updateDuration();\n }\n\n public function updateDuration(): self\n {\n if (! $this->hasActualStartTime() || ! $this->hasActualEndTime()) {\n return $this;\n }\n\n return $this->setDuration(\n (int) abs($this->getActualStartTime()->diffInRealSeconds($this->getActualEndTime()))\n );\n }\n\n public function setDuration(int $duration): self\n {\n $this->setAttribute('duration', $duration);\n\n return $this;\n }\n\n public function getRecordingState(): string\n {\n return $this->getAttribute('recording_state');\n }\n\n public function isRecordingState(string $recordingState): bool\n {\n return $this->getRecordingState() === $recordingState;\n }\n\n public function setRecordingState(string $recordingState): self\n {\n $this->setAttribute('recording_state', $recordingState);\n\n return $this;\n }\n\n public function hasActivityType(): bool\n {\n return $this->getAttribute('category') !== null;\n }\n\n public function getActivityType(): ?PlaybookCategory\n {\n return $this->getAttribute('category');\n }\n\n public function setActivityType(int $playbookCategoryId): self\n {\n $this->setAttribute('playbook_category_id', $playbookCategoryId);\n\n return $this;\n }\n\n public function hasStage(): bool\n {\n return $this->getAttribute('stage') !== null;\n }\n\n public function getStage(): ?Stage\n {\n return $this->getAttribute('stage');\n }\n\n public function getStageId(): ?int\n {\n return $this->getAttribute('stage_id');\n }\n\n public function setStageId(?int $stageId): void\n {\n $this->setAttribute('stage_id', $stageId);\n }\n\n public function hasOpportunity(): bool\n {\n return $this->getAttribute('opportunity') !== null;\n }\n\n public function getOpportunity(): ?Opportunity\n {\n return $this->getAttribute('opportunity');\n }\n\n public function getOpportunityId(): ?int\n {\n return $this->getAttribute('opportunity_id');\n }\n\n public function setOpportunityId(?int $opportunityId): void\n {\n $this->setAttribute('opportunity_id', $opportunityId);\n }\n\n public function hasContact(): bool\n {\n return $this->getAttribute('contact') !== null;\n }\n\n public function getContact(): ?Contact\n {\n return $this->getAttribute('contact');\n }\n\n public function getContactId(): ?int\n {\n return $this->getAttribute('contact_id');\n }\n\n public function setContactId(?int $contactId): void\n {\n $this->setAttribute('contact_id', $contactId);\n }\n\n public function hasLead(): bool\n {\n return $this->getAttribute('lead') !== null;\n }\n\n public function getLead(): ?Lead\n {\n return $this->getAttribute('lead');\n }\n\n public function getLeadId(): ?int\n {\n return $this->getAttribute('lead_id');\n }\n\n public function setLeadId(?int $leadId): void\n {\n $this->setAttribute('lead_id', $leadId);\n }\n\n public function hasAccount(): bool\n {\n return $this->getAttribute('account') !== null;\n }\n\n public function getAccount(): ?Account\n {\n return $this->getAttribute('account');\n }\n\n public function getAccountId(): ?int\n {\n return $this->getAttribute('account_id');\n }\n\n public function setAccountId(?int $accountId): void\n {\n $this->setAttribute('account_id', $accountId);\n }\n\n /**\n * This method exists to avoid confusion using ->participants() or ->participants. Use the getter instead.\n *\n * @return Collection<int, Participant>|Participant[]\n */\n public function getParticipants(): Collection\n {\n return $this->participants;\n }\n\n /**\n * @deprecated use ParticipantRepository::findParticipantRoomOwner() instead\n */\n public function findParticipantRoomOwner(): ?Participant\n {\n $roomOwnerId = $this->getUserId();\n\n return $this->getParticipants()\n ->filter(static fn (Participant $participant): bool => $participant->isSameUserId($roomOwnerId))\n ->first();\n }\n\n public function hasCrmProviderId(): bool\n {\n return $this->getAttribute('crm_provider_id') !== null;\n }\n\n public function getCrmProviderId(): ?string\n {\n return $this->getAttribute('crm_provider_id');\n }\n\n public function setCrmProviderId(?string $crmProviderId): void\n {\n $this->setAttribute('crm_provider_id', $crmProviderId);\n }\n\n public function getUserId(): ?int\n {\n return $this->getAttribute('user_id');\n }\n\n public function hasUser(): bool\n {\n return $this->user()->exists();\n }\n\n public function getUser(): User\n {\n return $this->getAttribute('user');\n }\n\n public function getCreatedAt(): Carbon\n {\n return $this->getAttribute('created_at');\n }\n\n public function isInFiniteState(): bool\n {\n return $this->isFiniteState($this->getStatus());\n }\n\n public function isFiniteState(string $status): bool\n {\n $finiteStates = self::FINITE_STATES[$this->getType()] ?? [];\n\n return in_array($status, $finiteStates, true);\n }\n\n public function getParticipant(Authenticatable $user): Participant\n {\n return $this->findParticipant($user);\n }\n\n public function findParticipant(Authenticatable $user): ?Participant\n {\n if ($user instanceof User) {\n /** @var User $user */\n return $this->participants()->where('user_id', '=', $user->getId())->first();\n }\n\n throw new LogicException(sprintf('Unsupported Authenticatable implementation %s', get_class($user)));\n }\n\n public function hasLanguageCode(): bool\n {\n return $this->getAttribute('language') !== null;\n }\n\n public function getLanguageCode(): ?string\n {\n /** @var string|null */\n return $this->getAttribute('language');\n }\n\n public function getLanguageCodeHyphenated(): string\n {\n return str_replace('_', '-', $this->getLanguageCode() ?? '');\n }\n\n public function getLanguageCodeLocale(): string\n {\n [ $language ] = explode('_', $this->getLanguageCode() ?? '');\n\n return $language;\n }\n\n public function setLanguageCode(string $value): self\n {\n return $this->setAttribute('language', $value);\n }\n\n public function hasSource(): bool\n {\n return $this->getAttribute('source') !== null;\n }\n\n public function setSource(?string $source): self\n {\n return $this->setAttribute('source', $source);\n }\n\n public function isSource(string $source): bool\n {\n return $this->getAttribute('source') === $source;\n }\n\n public function getSource(): ?string\n {\n return $this->getAttribute('source');\n }\n\n public function isSourceGong(): bool\n {\n return $this->isSource(self::SOURCE_GONG);\n }\n\n public function getExternalId(): ?string\n {\n return $this->getAttribute('external_id');\n }\n\n public function setExternalId(?string $externalId): self\n {\n return $this->setAttribute('external_id', $externalId);\n }\n\n public function hasExternalId(): bool\n {\n return $this->getAttribute('external_id') !== null;\n }\n\n public function getProvider(): string\n {\n return $this->getAttribute('provider');\n }\n\n public function hasTelephonyProviderId(): bool\n {\n return $this->getAttribute('telephony_provider_id') !== null;\n }\n\n public function getTelephonyProviderId(): ?string\n {\n return $this->getAttribute('telephony_provider_id');\n }\n\n public function setTelephonyProviderId(?string $telephonyProviderId): self\n {\n return $this->setAttribute('telephony_provider_id', $telephonyProviderId);\n }\n\n public function getLocation(): ?string\n {\n return $this->getAttribute('location');\n }\n\n public function setLocation(?string $location): self\n {\n return $this->setAttribute('location', $location);\n }\n\n public function isDeleted(): bool\n {\n return $this->getAttribute('deleted_at') !== null;\n }\n\n /**\n * Check if activity recording is on and activity status is not one of the failed statuses.\n */\n public function canReviewActivity(): bool\n {\n $failedStatuses = self::$enumFailedStatuses;\n\n return (! in_array($this->recording_state, [self::RECORDING_OFF, self::RECORDING_STOPPED], true) &&\n ! in_array($this->status, $failedStatuses, true));\n }\n\n public function hasReasonCodeBotKicked(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_MEETING_BOT_KICKED);\n }\n\n public function hasReasonCodeNotCompliant(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_CONSENT_DENIED);\n }\n\n public function hasTopicTriggers(): bool\n {\n return $this->topicTriggers()->count() !== 0;\n }\n\n public function getTopicTriggers(): Collection\n {\n return $this->topicTriggers;\n }\n\n public function getTopicTriggersSorted(): Collection\n {\n $this->loadMissing([\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic.playbackTheme',\n ]);\n\n return $this->topicTriggers\n ->sortBy([\n 'playbackThemeTopicTrigger.playbackThemeTopic.playbackTheme.sort',\n 'playbackThemeTopicTrigger.playbackThemeTopic.sort',\n 'playbackThemeTopicTrigger.sort',\n ]);\n }\n\n public function hasQuestions(): bool\n {\n return $this->questions()->exists();\n }\n\n public function getQuestions(): Collection\n {\n return $this->questions;\n }\n\n public function hasValue(): bool\n {\n return $this->getAttribute('value') !== null;\n }\n\n public function getValue(): ?float\n {\n return $this->getAttribute('value');\n }\n\n public function setValue(?float $value): void\n {\n $this->setAttribute('value', $value);\n }\n\n public function transitionTo(string $newState, callable $callback, ?int $timeout = null): self\n {\n $newState = $this->getWorkflowStateFor(\n $this->getType(),\n $newState\n );\n\n return $this->traitTransitionTo($newState, $callback, $timeout);\n }\n\n public function getWorkflowState(): string\n {\n return $this->getWorkflowStateFor(\n $this->getType(),\n $this->getStatus()\n );\n }\n\n public function getActivityProviderDisplayName(): string\n {\n return \\Cache::remember('activity_provider_display_name-' . $this->getProvider(), 60 * 60 * 24, function () {\n $activityProviderRegistry = app()->make(ActivityProviderRegistry::class);\n\n try {\n return $activityProviderRegistry->get($this->getProvider())->getDisplayName();\n } catch (Exception $exception) {\n return ucfirst($this->getProvider());\n }\n });\n }\n\n private function getWorkflowStateFor(string $activityChannel, string $activityStatus): string\n {\n return sprintf(\n '%s::%s',\n $activityChannel,\n $activityStatus\n );\n }\n\n public function getWorkflow(): array\n {\n $map = [\n self::TYPE_SOFTPHONE => [\n self::STATUS_SCHEDULED => [\n self::STATUS_PENDING,\n self::STATUS_IN_PROGRESS,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n ],\n self::STATUS_PENDING => [\n self::STATUS_IN_PROGRESS,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n ],\n self::STATUS_RINGING => [\n self::STATUS_CANCELLED,\n self::STATUS_FAILED,\n self::STATUS_IN_PROGRESS,\n self::STATUS_BUSY,\n ],\n self::STATUS_IN_PROGRESS => [\n self::STATUS_COMPLETED,\n ],\n ],\n self::TYPE_SOFTPHONE_INBOUND => [\n self::STATUS_RINGING => [\n self::STATUS_IN_PROGRESS,\n self::STATUS_NO_ANSWER,\n self::STATUS_CANCELLED,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n ],\n self::STATUS_IN_PROGRESS => [\n self::STATUS_COMPLETED,\n ],\n ],\n ];\n\n return collect($map)\n ->mapWithKeys(function (array $currentStates, string $activityChannel): array {\n return [\n $activityChannel => collect($currentStates)\n ->mapWithKeys(function (array $possibleStates, $currentState) use ($activityChannel): array {\n $transitionName = $this->getWorkflowStateFor($activityChannel, $currentState);\n\n return [\n $transitionName => array_map(function (string $newState) use ($activityChannel) {\n return $this->getWorkflowStateFor($activityChannel, $newState);\n }, $possibleStates),\n ];\n }),\n ];\n })\n ->reduce(static function (array $carry, Collection $item): array {\n return array_merge($carry, $item->all());\n }, []);\n }\n\n public function hasPosterPath(): bool\n {\n return $this->getAttribute('poster_path') !== null;\n }\n\n public function getPosterPath(): ?string\n {\n return $this->getAttribute('poster_path');\n }\n\n /**\n * Take into account all recording settings and determine if we need to record this activity or not.\n */\n public function shouldRecord(): bool\n {\n return $this->determineRecordingReasonCode() === null;\n }\n\n public function determineRecordingReasonCode(): ?int\n {\n // Conference specific decisions.\n if ($this->isTypeConference()) {\n // If they have manually overridden the recording setting to not record.\n if ($this->hasRecordingPreference() && $this->getRecordingPreference() === false) {\n return self::FLAG_RECORDING_REASON_PREFERENCE_OVERRIDE;\n }\n\n // If they have manually overridden the recording setting to record.\n if ($this->hasRecordingPreference() && $this->getRecordingPreference() === true) {\n return null;\n }\n\n // If their team has disabled recording meetings, don't record.\n if ($this->user->team->isConferenceRecordPreferenceDisabled()) {\n return self::FLAG_RECORDING_REASON_TEAM_AUTOMATIC_DISABLED;\n }\n\n // If the host has disabled recording meetings, don't record.\n if ($this->user->checkConferenceRecordPreference() === false) {\n return self::FLAG_RECORDING_REASON_USER_AUTOMATIC_DISABLED;\n }\n\n // If it was marked internal...\n if ($this->is_internal) {\n // and their team has disabled recording internal meetings, don't record.\n if (\n $this->user->team->isConferenceRecordPreferenceEnabled()\n && ! $this->user->team->isConferenceRecordInternalPreferenceEnabled()\n ) {\n return self::FLAG_RECORDING_REASON_TEAM_INTERNAL_DISABLED;\n }\n\n // and the host has disabled recording internal meetings, don't record.\n if ($this->user->checkConferenceRecordInternalPreference() === false) {\n return self::FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED;\n }\n }\n\n // If it was not scheduled and they disabled internal meetings, we cannot determine if it was internal.\n if ($this->wasScheduled() === false && $this->user->checkConferenceRecordInternalPreference() === false) {\n return self::FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED_UNSCHEDULED;\n }\n }\n\n return null;\n }\n\n public function getRecordingReasonCode(): int\n {\n return $this->getAttribute('recording_reason_code');\n }\n\n public function setRecordingReasonCode(int $recordingReasonCode): self\n {\n $this->setAttribute('recording_reason_code', $recordingReasonCode);\n\n return $this;\n }\n\n // Not used today.\n public function getRecordingReasonString(): ?string\n {\n if ($this->hasRecordingReasonCompliancePrompted()) {\n return Team::COMPLIANCE_MODE_RECORDING_PROMPT;\n }\n\n if ($this->hasRecordingReasonComplianceRestricted()) {\n return Team::COMPLIANCE_MODE_RECORDING_RESTRICT;\n }\n\n if ($this->hasRecordingReasonComplianceRestrictedToOneSideRecording()) {\n return Team::COMPLIANCE_MODE_RECORDING_RESTRICT_ONE_SIDE;\n }\n\n return null;\n }\n\n public function hasRecordingReasonComplianceRestricted(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT);\n }\n\n public function hasRecordingReasonCompliancePrompted(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_COMPLIANCE_PROMPT);\n }\n\n public function hasRecordingReasonComplianceRestrictedToOneSideRecording(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT_ONE_SIDE);\n }\n\n public function getAudioTrack(): ?Track\n {\n /** @var Track|null */\n return $this->tracks()\n ->where('type', '=', Track::TYPE_AUDIO)\n ->first();\n }\n\n public function activeParticipants(): HasMany\n {\n return $this->hasMany(Participant::class)->active();\n }\n\n public function getActiveParticipants(): Eloquent\\Collection\n {\n return $this->getAttribute('activeParticipants');\n }\n\n public function crm(): Eloquent\\Relations\\BelongsTo\n {\n return $this->belongsTo(Configuration::class, 'crm_configuration_id');\n }\n\n public function activitySummaryLogs(): HasMany\n {\n return $this->hasMany(ActivitySummaryLog::class);\n }\n\n public function getCrm(): ?Configuration\n {\n return $this->getAttribute('crm');\n }\n\n public function hasCrmConfiguration(): bool\n {\n return $this->getAttribute('crm') !== null;\n }\n\n public function isProcessed(): ?bool\n {\n return $this->getAttribute('is_processed');\n }\n\n public function hasRecordingPrompt(): bool\n {\n return $this->getAttribute('has_recording_prompt') === true;\n }\n\n public function isOnAir(): bool\n {\n return $this->getAttribute('on_air') === self::ON_AIR_READY || $this->getAttribute('on_air') === self::ON_AIR_STREAMING;\n }\n\n public function setOnAir(int $onAir): self\n {\n $this->setAttribute('on_air', $onAir);\n\n return $this;\n }\n\n public function getOnAir(): ?int\n {\n return $this->getAttribute('on_air');\n }\n\n public function setTitleFromCallData(Call $call): void\n {\n $direction = $call->isOutbound() ? 'to' : 'from';\n\n $party = $this->prospect_name\n ?? $call->getContactName()\n ?? $call->getOtherPartyPhoneNumber()\n ;\n\n $this->update(['title' => sprintf('Call %s %s', $direction, $party)]);\n }\n\n /**\n * @param array{}|array{channels:string|null, format:string|null, type:string|null, status:string|null} $audioParams\n */\n public function createAudioTrack(\n string $telephonyProviderId,\n string $recordingUrl,\n array $audioParams = []\n ): Track {\n return $this->tracks()->updateOrCreate([\n 'telephony_provider_id' => $telephonyProviderId,\n ], [\n 'type' => $audioParams['type'] ?? Track::TYPE_AUDIO,\n 'status' => $audioParams['status'] ?? Track::STATUS_PENDING,\n 'format' => $audioParams['format'] ?? Track::FORMAT_WAV,\n 'provider_content_url' => $recordingUrl,\n 'start_time' => $this->actual_start_time,\n 'end_time' => $this->actual_end_time,\n ]);\n }\n\n public function createTrack(string $telephonyProviderId, array $params): Track\n {\n return $this->tracks()->updateOrCreate(\n [\n 'telephony_provider_id' => $telephonyProviderId,\n ],\n $params\n );\n }\n\n public function createOrganiserParticipant(Call $call): Participant\n {\n $user = $this->getUser();\n\n return $this->updateOrCreateParticipant([\n 'is_ghost' => 0,\n 'name' => $user->name,\n 'email' => $user->email,\n 'phone_number' => phone_e164(null, $call->getUserPhoneNumber()),\n 'enter_time' => $this->actual_start_time,\n 'exit_time' => $this->actual_end_time,\n 'user_id' => $user->id,\n ], false);\n }\n\n public function createProspectParticipant(Call $call): Participant\n {\n // not null 'name' is mandatory here to create a separate participant with 'nameMatching'\n // in case of the same phone_number with the Organiser\n $useNameMatching = $call->getUserPhoneNumber() === $call->getOtherPartyPhoneNumber();\n $defaultName = $useNameMatching ? '' : null;\n\n return $this->updateOrCreateParticipant(data: [\n 'is_ghost' => 0,\n 'name' => $this->prospect->name ?? $defaultName,\n 'email' => $this->prospect->email ?? null,\n 'phone_number' => phone_e164(null, $call->getOtherPartyPhoneNumber()),\n 'enter_time' => $this->actual_start_time,\n 'exit_time' => $this->actual_end_time,\n 'contact_id' => $this->contact_id ?? null,\n 'lead_id' => $this->lead_id ?? null,\n ], enterRoom: false, nameMatching: $useNameMatching);\n }\n\n public function updateParticipants(Participant $organiserParticipant, Participant $prospectParticipant): void\n {\n $this->update([\n 'from_participant_id' => $this->isTypeSoftPhone() ? $organiserParticipant->id : $prospectParticipant->id,\n 'to_participant_id' => $this->isTypeSoftPhone() ? $prospectParticipant->id : $organiserParticipant->id,\n ]);\n }\n\n public function hasProspect(): bool\n {\n return $this->getProspectAttribute() !== null;\n }\n\n public function isPrivate(): bool\n {\n return $this->getAttribute('is_private');\n }\n\n /** Create a new factory instance for the model. */\n protected static function newFactory(): Factory\n {\n return ActivityFactory::new();\n }\n\n public function getUpdatedAt(): Carbon\n {\n return $this->getAttribute('updated_at');\n }\n\n public function getActivitySummaryLogs(): Eloquent\\Collection\n {\n return $this->getAttribute('activitySummaryLogs');\n }\n\n public function hasProspectActivitySummaryLog(): bool\n {\n return $this->getActivitySummaryLogs()->contains(\n 'relation_type',\n ActivitySummaryLog::RELATION_OBJECT_TYPE_PROSPECT\n );\n }\n\n public function getTeam(): Team\n {\n return $this->getUser()->getTeam();\n }\n\n private function getUpdateCrmDataResolver(): UpdateCrmDataResolverInterface\n {\n $factory = app(UpdateCrmDataResolverFactory::class);\n\n return $factory->create($this);\n }\n\n public function getMeetingTrackProviderId(string $type): string\n {\n $label = match ($type) {\n Track::TYPE_VIDEO => 'v',\n Track::TYPE_AUDIO => 'a',\n default => throw new InvalidArgumentJiminnyException('Invalid track type'),\n };\n\n $startTimestamp = $this->getScheduledStartTime()?->getTimestamp();\n $teamId = $this->getTeam()->getId();\n\n return $this->getTelephonyProviderId() . ':' . $label . ':' . $startTimestamp . ':' . $teamId;\n }\n\n /**\n * Get all consent records associated with this activity\n *\n * @return \\Illuminate\\Database\\Eloquent\\Relations\\HasMany\n */\n public function participantConsents(): HasMany\n {\n return $this->hasMany(Participant\\Consent::class);\n }\n\n public function isDiallerCall(): bool\n {\n if ($this->getProvider() === Activity::PROVIDER_UPLOADER) {\n return false;\n }\n\n if (! in_array($this->getType(), [self::TYPE_SOFTPHONE, self::TYPE_SOFTPHONE_INBOUND])) {\n return false;\n }\n\n return $this->getProvider() !== self::PROVIDER_TWILIO;\n }\n\n public function getActivityDateWithFallback(): Carbon\n {\n if ($this->getActualStartTime() !== null) {\n return $this->getActualStartTime();\n }\n\n if ($this->getScheduledStartTime() !== null) {\n return $this->getScheduledStartTime();\n }\n\n return $this->getCreatedAt();\n }\n\n public function getCrmType(): ?string\n {\n // Treat uploader activities as conferences\n if ($this->getProvider() === Activity::PROVIDER_UPLOADER) {\n return Activity::TYPE_CONFERENCE;\n }\n\n return $this->getType();\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Models;\n\nuse Carbon\\Carbon;\nuse Database\\Factories\\ActivityFactory;\nuse DateTimeInterface;\nuse Exception;\nuse Illuminate\\Contracts\\Auth\\Authenticatable;\nuse Illuminate\\Database\\Eloquent;\nuse Illuminate\\Database\\Eloquent\\Attributes\\Scope;\nuse Illuminate\\Database\\Eloquent\\Builder;\nuse Illuminate\\Database\\Eloquent\\Factories\\Factory;\nuse Illuminate\\Database\\Eloquent\\Factories\\HasFactory;\nuse Illuminate\\Database\\Eloquent\\Relations\\BelongsTo;\nuse Illuminate\\Database\\Eloquent\\Relations\\BelongsToMany;\nuse Illuminate\\Database\\Eloquent\\Relations\\HasMany;\nuse Illuminate\\Database\\Eloquent\\Relations\\HasManyThrough;\nuse Illuminate\\Database\\Eloquent\\Relations\\HasOne;\nuse Illuminate\\Database\\Eloquent\\SoftDeletes;\nuse Illuminate\\Support\\Collection;\nuse Illuminate\\Support\\Facades\\Auth;\nuse InvalidArgumentException;\nuse Jiminny\\Component\\ElasticSearch;\nuse Jiminny\\Component\\MeetingBot;\nuse Jiminny\\Component\\Model\\BitwiseFlagTrait;\nuse Jiminny\\Component\\PlaybackPage\\Comments\\Services\\ActivityCommentService;\nuse Jiminny\\Component\\Sidekick\\SidekickService;\nuse Jiminny\\Component\\Uuid\\UuidAwareInterface;\nuse Jiminny\\Component\\Workflow;\nuse Jiminny\\Contracts;\nuse Jiminny\\Contracts\\Crm\\ProspectInterface;\nuse Jiminny\\DTO\\ImportCall\\Call;\nuse Jiminny\\Events\\Activities\\ActivityTypeUpdated;\nuse Jiminny\\Events\\Activities\\ActivityUpdated;\nuse Jiminny\\Events\\Activities\\ProspectUpdated;\nuse Jiminny\\Events\\Activities\\StageUpdated;\nuse Jiminny\\Events\\Activities\\StatusUpdated;\nuse Jiminny\\Events\\Activities\\TitleUpdated;\nuse Jiminny\\Exceptions\\InvalidArgumentException as InvalidArgumentJiminnyException;\nuse Jiminny\\Exceptions\\LogicException;\nuse Jiminny\\Exceptions\\RuntimeException;\nuse Jiminny\\Models;\nuse Jiminny\\Models\\Activity\\ActivitySummaryLog;\nuse Jiminny\\Models\\Activity\\ActivityUploadSetting;\nuse Jiminny\\Models\\Activity\\AvailabilityNotification;\nuse Jiminny\\Models\\Activity\\CoachRequest;\nuse Jiminny\\Models\\Activity\\Comment;\nuse Jiminny\\Models\\Activity\\Log;\nuse Jiminny\\Models\\Activity\\Message;\nuse Jiminny\\Models\\Activity\\Moment;\nuse Jiminny\\Models\\Activity\\Note;\nuse Jiminny\\Models\\Activity\\ParticipantSpeech;\nuse Jiminny\\Models\\Activity\\Play;\nuse Jiminny\\Models\\Activity\\Question;\nuse Jiminny\\Models\\Activity\\Share;\nuse Jiminny\\Models\\Activity\\Snapshot;\nuse Jiminny\\Models\\Activity\\Stats;\nuse Jiminny\\Models\\Activity\\SubscriptionSet;\nuse Jiminny\\Models\\Activity\\TopicTrigger;\nuse Jiminny\\Models\\Activity\\Transcription;\nuse Jiminny\\Models\\Calendar\\CalendarEvent;\nuse Jiminny\\Models\\Crm\\Configuration;\nuse Jiminny\\Models\\Crm\\FieldData;\nuse Jiminny\\Models\\ElasticSearch\\ActivityElasticSearchTrait;\nuse Jiminny\\Models\\Feature\\FeatureEnum;\nuse Jiminny\\Models\\Participant\\Connection;\nuse Jiminny\\Models\\Playlist\\Activity as PlaylistActivity;\nuse Jiminny\\Services\\Activity\\ActivityProviderRegistry;\nuse Jiminny\\Services\\Activity\\Import\\DataResolvers\\UpdateCrmDataByStrategy;\nuse Jiminny\\Services\\Activity\\Import\\DataResolvers\\UpdateCrmDataResolverFactory;\nuse Jiminny\\Services\\Activity\\Import\\DataResolvers\\UpdateCrmDataResolverInterface;\nuse Jiminny\\Traits\\Enums;\nuse Jiminny\\Traits\\RequiresUUID;\nuse Jiminny\\Utils\\CurrencyFormatter;\nuse NumberFormatter;\n\nuse function in_array;\n\n/**\n * Jiminny\\Models\\Activity\n *\n * @property null|int $auto_score filled from ES hydrator, not in DB!\n * @property-read Account|null $account\n * @property-read CalendarEvent|null $calendarEvent\n * @property-read Contact|null $contact\n * @property-read Lead|null $lead\n * @property-read Opportunity|null $opportunity\n * @property-read Stage|null $stage\n * @property int $id\n * @property mixed|null $uuid\n * @property string|null $source\n * @property string|null $external_id\n * @property string $provider\n * @property string|null $location\n * @property string|null $telephony_provider_id\n * @property int|null $from_participant_id\n * @property int|null $to_participant_id\n * @property int|null $device_id\n * @property string|null $type\n * @property int|null $playbook_category_id\n * @property int $user_id\n * @property int|null $lead_id\n * @property int|null $account_id\n * @property int|null $contact_id\n * @property int|null $opportunity_id\n * @property int|null $stage_id\n * @property string|null $value\n * @property int|null $crm_configuration_id\n * @property string|null $crm_provider_id\n * @property string|null $language\n * @property int|null $transcription_id\n * @property int $duration\n * @property string $status\n * @property int|null $on_air\n * @property int|null $calendar_event_id\n * @property string $recording_state\n * @property bool|null $recording_preference\n * @property int $recording_reason_code\n * @property int $summary_reminder_sent\n * @property \\Illuminate\\Support\\Carbon|null $log_reminder_sent_at\n * @property \\Illuminate\\Support\\Carbon|null $organizer_notified_at\n * @property bool|null $has_recording_prompt\n * @property bool $is_internal\n * @property int $is_locked\n * @property int $is_recording\n * @property bool|null $is_processed\n * @property bool $is_private\n * @property bool $is_instant_invite\n * @property string|null $poster_path\n * @property string|null $summary\n * @property string|null $title\n * @property string|null $description\n * @property \\Illuminate\\Support\\Carbon|null $scheduled_start_time\n * @property \\Illuminate\\Support\\Carbon|null $scheduled_end_time\n * @property \\Illuminate\\Support\\Carbon|null $actual_start_time\n * @property \\Illuminate\\Support\\Carbon|null $actual_end_time\n * @property int|null $uploaded_by\n * @property \\Illuminate\\Support\\Carbon|null $deleted_at\n * @property \\Illuminate\\Support\\Carbon|null $created_at\n * @property \\Illuminate\\Support\\Carbon|null $updated_at\n * @property string|null $average_score\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant> $activeParticipants\n * @property-read int|null $active_participants_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Scorecard\\ActivityScorecardRuleTrigger> $activityScorecardRuleTriggers\n * @property-read int|null $activity_scorecard_rule_triggers_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Scorecard\\ActivityScorecardRule> $activityScorecardRules\n * @property-read int|null $activity_scorecard_rules_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, AvailabilityNotification> $availabilityNotifications\n * @property-read int|null $availability_notifications_count\n * @property-read \\Jiminny\\Models\\PlaybookCategory|null $category\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, CoachRequest> $coachRequests\n * @property-read int|null $coach_requests_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\CoachingFeedback> $coachingFeedbacks\n * @property-read int|null $coaching_feedbacks_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Message> $coachingMessages\n * @property-read int|null $coaching_messages_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Comment> $comments\n * @property-read int|null $comments_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Connection> $connections\n * @property-read int|null $connections_count\n * @property-read Configuration|null $crm\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, FieldData> $data\n * @property-read int|null $data_count\n * @property-read \\Jiminny\\Models\\Device|null $device\n * @property-read \\Kalnoy\\Nestedset\\Collection<int, \\Jiminny\\Models\\Playlist> $favoritePlaylists\n * @property-read int|null $favorite_playlists_count\n * @property-read \\Jiminny\\Models\\Participant|null $from\n * @property-read string|null $activity_title\n * @property-read mixed $comment_count\n * @property-read mixed $duration_for_humans\n * @property-read string $duration_for_humans_short\n * @property-read int $favorite_count\n * @property-read mixed $favorites_count\n * @property-read mixed $formatted_value\n * @property-read string $id_string\n * @property-read \\Jiminny\\Models\\Participant|null $organizer\n * @property-read mixed $play_count\n * @property-read int|null $plays_count\n * @property-read ?ProspectInterface $prospect\n * @property-read string|null $prospect_name\n * @property-read mixed $prospect_type\n * @property-read mixed $share_count\n * @property-read int|null $shares_count\n * @property-read int|null $tracks_with_telephony_count\n * @property-read int|null $visible_comments_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\CoachingFeedback> $latestCoachingFeedbacks\n * @property-read int|null $latest_coaching_feedbacks_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Log> $logs\n * @property-read int|null $logs_count\n * @property-read \\Jiminny\\Models\\Track|null $masterTrack\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Message> $messages\n * @property-read int|null $messages_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Moment> $moments\n * @property-read int|null $moments_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Note> $notes\n * @property-read int|null $notes_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant\\Share> $participantShares\n * @property-read int|null $participant_shares_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, ParticipantSpeech> $participantSpeeches\n * @property-read int|null $participant_speeches_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant\\ParticipantStats> $participantStats\n * @property-read int|null $participant_stats_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Participant> $participants\n * @property-read int|null $participants_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, PlaylistActivity> $playlistActivities\n * @property-read int|null $playlist_activities_count\n * @property-read \\Kalnoy\\Nestedset\\Collection<int, \\Jiminny\\Models\\Playlist> $playlists\n * @property-read int|null $playlists_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Play> $plays\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Question> $questions\n * @property-read int|null $questions_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Session> $sessions\n * @property-read int|null $sessions_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Share> $shares\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Snapshot> $snapshots\n * @property-read int|null $snapshots_count\n * @property-read Stats|null $stats\n * @property-read \\Jiminny\\Models\\Participant|null $to\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, TopicTrigger> $topicTriggers\n * @property-read int|null $topic_triggers_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Track> $tracks\n * @property-read int|null $tracks_count\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, \\Jiminny\\Models\\Track> $tracksWithTelephony\n * @property-read Transcription|null $transcription\n * @property-read \\Jiminny\\Models\\User $user\n * @property-read \\Illuminate\\Database\\Eloquent\\Collection<int, Comment> $visibleComments\n *\n * @method static \\Illuminate\\Database\\Eloquent\\Collection<int, static> all($columns = ['*'])\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity chunkByIdDesc($count, callable $callback, $column = null, $alias = null)\n * @method static \\Database\\Factories\\ActivityFactory factory(...$parameters)\n * @method static \\Illuminate\\Database\\Eloquent\\Collection<int, static> get($columns = ['*'])\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity heldBetween(\\Carbon\\Carbon $start, \\Carbon\\Carbon $end)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity idOrUuId($idOrUuid, bool $first = true)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity newModelQuery()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity newQuery()\n * @method static Builder|Activity onlyTrashed()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity query()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity scheduledBetween(\\Carbon\\Carbon $start, \\Carbon\\Carbon $end)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity inOpenDeals()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity notInOpenDeals()\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity forTeam(int $teamId)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity search(callable $searchQuery, $key = null, $sortByResults = true)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity uuid(string $uuid, bool $first = true)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereAccountId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereActualEndTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereActualStartTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereAverageScore($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCalendarEventId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereContactId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCreatedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCrmConfigurationId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereCrmProviderId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDeletedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDescription($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDeviceId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereDuration($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereFromParticipantId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereHasRecordingPrompt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsInstantInvite($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsInternal($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsLocked($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsPrivate($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsProcessed($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereIsRecording($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLanguage($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLeadId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLocation($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereLogReminderSentAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereOnAir($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereOpportunityId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereOrganizerNotifiedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity wherePlaybookCategoryId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity wherePosterPath($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereProvider($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereRecordingPreference($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereRecordingReasonCode($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereRecordingState($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereScheduledEndTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereScheduledStartTime($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereSource($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereExternalId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereStageId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereStatus($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereSummary($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereSummaryReminderSent($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereTelephonyProviderId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereTitle($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereToParticipantId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereTranscriptionId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereType($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUpdatedAt($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUploadedBy($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUserId($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereUuid($value)\n * @method static \\Jiminny\\Component\\Eloquent\\Builder|Activity whereValue($value)\n * @method static Builder|Activity withTrashed()\n * @method static Builder|Activity withoutTrashed()\n *\n * @mixin \\Eloquent\n */\nclass Activity extends Model implements\n ElasticSearch\\Contract\\Searchable,\n Workflow\\Workflow\\WorkflowAwareInterface,\n Models\\Contracts\\ActivityContract,\n Contracts\\Model\\ActivityInterface,\n UuidAwareInterface\n{\n use HasFactory;\n\n use Enums;\n use SoftDeletes;\n use RequiresUUID;\n use BitwiseFlagTrait;\n use ElasticSearch\\Model\\Searchable;\n use ActivityElasticSearchTrait;\n\n use Workflow\\Workflow\\WorkflowAware {\n transitionTo as traitTransitionTo;\n }\n\n public const int FLAG_RECORDING_REASON_DEFAULT = 0;\n\n // Recording Prompted but never started\n public const int FLAG_RECORDING_REASON_COMPLIANCE_PROMPT = 1;\n public const int FLAG_RECORDING_REASON_COMPLIANCE_RESUMED = 2;\n public const int FLAG_RECORDING_REASON_NO_AUDIO = 3;\n\n // Recording Disabled by Organization\n public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT = 4;\n\n // Recording was restricted to one-side recordings only\n public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT_ONE_SIDE = 8;\n\n // Recording was not started because it was internal and team setting disabled that.\n public const int FLAG_RECORDING_REASON_TEAM_INTERNAL_DISABLED = 16;\n\n // Recording was not started because it was internal and user setting disabled that.\n public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED = 32;\n\n // Recording was not started because user setting disabled automatic recording.\n public const int FLAG_RECORDING_REASON_USER_AUTOMATIC_DISABLED = 64;\n\n // Recording was not started because team setting disabled automatic recording.\n public const int FLAG_RECORDING_REASON_TEAM_AUTOMATIC_DISABLED = 128;\n\n // Recording was not started because user has overriden default.\n public const int FLAG_RECORDING_REASON_PREFERENCE_OVERRIDE = 256;\n\n // Recording was not started because they don't want internal, and this meeting was not scheduled/imported in time.\n public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED_UNSCHEDULED = 512;\n\n // Recording was not started because their team setting does excludes the meeting type.\n public const int FLAG_RECORDING_REASON_UNSUPPORTED_TYPE = 1024;\n\n // Recording was not started because the external provider disabled it (or recording is missing etc).\n public const int FLAG_RECORDING_REASON_EXTERNALLY_DISABLED = 2048;\n\n // Recording was stopped externally (\"exit-meeting\" Pusher event)\n public const int FLAG_RECORDING_REASON_STOPPED_EXTERNALLY = 384;\n\n // Recording couldn't be started due to Zoom hosting conflict error\n public const int FLAG_RECORDING_REASON_HOSTING_CONFLICT = 448;\n\n // meeting.failed event with reason code BOT_DENIED_FROM_LOBBY\n public const int FLAG_RECORDING_REASON_MEETING_BOT_DENIED_FROM_LOBBY = 4096;\n\n // meeting.failed event with reason code LOBBY_TIMEOUT\n public const int FLAG_RECORDING_REASON_MEETING_BOT_LOBBY_TIMEOUT = 8192;\n\n // meeting.failed event with reason code BOT_KICKED\n public const int FLAG_RECORDING_REASON_MEETING_BOT_KICKED = 16384;\n\n // meeting.failed event with reason code UNKNOWN\n public const int FLAG_RECORDING_REASON_MEETING_BOT_UNKNOWN = 32768;\n\n public const int FLAG_RECORDING_REASON_CONSENT_DENIED = 65536;\n\n // Invalid meeting (e.g. URL is invalid, or the meeting is not found)\n public const int FLAG_RECORDING_REASON_MEETING_BOT_INVALID = 131072;\n\n // The host stopped the recording.\n public const int FLAG_RECORDING_REASON_USER_STOPPED = 262144;\n\n // Recording was not started because an alternative vendor disabled it (or overrode it).\n public const int FLAG_RECORDING_REASON_VENDOR_OVERRIDE = 1048576;\n\n // Login required meeting.failed code\n public const int FLAG_RECORDING_REASON_LOGIN_REQUIRED = 524288;\n\n // Password for meeting was not provided - meeting.failed code\n public const int FLAG_RECORDING_REASON_MEETING_PASSWORD_NOT_PROVIDED = 2097152;\n\n // meeting.failed - when the meeting is locked\n public const int FLAG_RECORDING_REASON_MEETING_IS_LOCKED = 4194304;\n\n // max recording duration reached\n public const int FLAG_RECORDING_REASON_MAX_DURATION_REACHED = 8388608;\n\n // recording size is too small\n public const int FLAG_RECORDING_REASON_EMPTY_RECORDING = 16777216;\n\n // meeting.failed - when bot is redirected to sign in page multiple times\n public const int FLAG_RECORDING_REASON_MAX_RESTART_COUNT_IS_REACHED = 33554432;\n\n // meeting.failed event with reason code CONNECTION_LOST\n public const int FLAG_RECORDING_REASON_MEETING_BOT_CONNECTION_LOST = 67108864;\n\n // recording is corrupted.\n public const int FLAG_RECORDING_REASON_MEDIA_FILE_UNSUPPORTED_MIME_TYPE = 134217728;\n\n // meeting ended in lobby\n public const int FLAG_RECORDING_REASON_MEETING_ENDED_IN_LOBBY = 268435456;\n\n // meeting not started\n public const int FLAG_RECORDING_REASON_REASON_MEETING_NOT_STARTED = 536870912;\n\n // unfinished zoom custom disclaimer\n public const int FLAG_RECORDING_REASON_FEATURE_RULE_NOT_FOUND_ERROR = 1073741824;\n\n // recording download failed - server error\n public const int FLAG_RECORDING_REASON_SERVER_ERROR = 2147483648;\n\n // recording download failed - client code 404\n public const int FLAG_RECORDING_REASON_NOT_FOUND = 2147483649;\n\n // recording download failed - client code 401, 403\n public const int FLAG_RECORDING_REASON_ACCESS_DENIED = 2147483650;\n\n // recording download failed - client code 429\n public const int FLAG_RECORDING_REASON_TOO_MANY_REQUESTS = 2147483651;\n\n // recording download failed - unknown client error\n public const int FLAG_RECORDING_REASON_CLIENT_ERROR = 2147483652;\n\n // recording download failed - unknown error\n public const int FLAG_RECORDING_REASON_UNKNOWN_ERROR = 2147483653;\n\n // It has been setup ahead of time through calendar\n public const string STATUS_SCHEDULED = 'scheduled';\n\n // It is awaiting audio.\n public const string STATUS_PENDING = 'pending';\n\n // Participant(s) dialed in, awaiting organizer.\n public const string STATUS_RINGING = 'ringing';\n\n // Call is in progress.\n public const string STATUS_IN_PROGRESS = 'in-progress';\n\n // It has ended.\n public const string STATUS_COMPLETED = 'completed';\n\n // Cancelled prior to starting.\n public const string STATUS_CANCELLED = 'canceled';\n\n public const string STATUS_DUPLICATED = 'duplicated'; // duplicated conference\n\n public const string STATUS_STARTING_SOON = 'starting-soon';\n\n public const string STATUS_BOT_CREATE_SENT = 'bot-create-sent';\n\n public const string STATUS_BOT_INSTANCE_WORKER_ASSIGNED = 'worker-assigned';\n\n public const string STATUS_BOT_INSTANCE_STARTED = 'bot-started';\n\n // When bot instance is waiting in lobby\n public const string STATUS_BOT_INSTANCE_WAITING_LOBBY = 'bot-waiting';\n\n public const string STATUS_BUSY = 'busy';\n public const string STATUS_NO_ANSWER = 'no-answer';\n public const string STATUS_FAILED = 'failed'; // Used by SMS too\n\n // SMS related\n public const string STATUS_ACCEPTED = 'accepted';\n public const string STATUS_QUEUED = 'queued';\n public const string STATUS_SENDING = 'sending';\n public const string STATUS_SENT = 'sent';\n public const string STATUS_DELIVERED = 'delivered';\n public const string STATUS_UNDELIVERED = 'undelivered';\n public const string STATUS_RECEIVING = 'receiving';\n public const string STATUS_RECEIVED = 'received';\n public const string STATUS_RESENT = 'resent';\n\n public const array SMS_STATUSES = [\n Activity::STATUS_RECEIVED,\n Activity::STATUS_SENT,\n Activity::STATUS_DELIVERED,\n ];\n\n public const array SOFT_PHONE_CONFERENCE_STATUSES = [\n Activity::STATUS_IN_PROGRESS,\n Activity::STATUS_COMPLETED,\n ];\n\n // @todo refactor prefix from `TYPE_` to `CHANNEL_`\n public const string TYPE_SOFTPHONE = 'softphone';\n public const string TYPE_SOFTPHONE_INBOUND = 'softphone-inbound';\n public const string TYPE_CONFERENCE = 'conference';\n public const string TYPE_SMS_INBOUND = 'sms-inbound';\n public const string TYPE_SMS_OUTBOUND = 'sms-outbound';\n public const string TYPE_EMAIL_INBOUND = 'email-inbound';\n public const string TYPE_EMAIL_OUTBOUND = 'email-outbound';\n\n public const array CHANNELS = [\n self::TYPE_SOFTPHONE,\n self::TYPE_SOFTPHONE_INBOUND,\n self::TYPE_CONFERENCE,\n self::TYPE_SMS_INBOUND,\n self::TYPE_SMS_OUTBOUND,\n self::TYPE_EMAIL_INBOUND,\n self::TYPE_EMAIL_OUTBOUND,\n ];\n\n public const array PLAYABLE_CHANNELS = [\n self::TYPE_SOFTPHONE,\n self::TYPE_SOFTPHONE_INBOUND,\n self::TYPE_CONFERENCE,\n ];\n\n // Recording States\n public const string RECORDING_OFF = 'off'; // Default state\n public const string RECORDING_IN_PROGRESS = 'in-progress';\n public const string RECORDING_PAUSED = 'paused';\n public const string RECORDING_STOPPED = 'stopped'; // To never be resumed.\n public const string RECORDING_RECORDED = 'recorded'; // At least some portion of it was recorded.\n public const string RECORDING_FAILED = 'failed'; // Recording was attempted but failed for some reason.\n\n // Live Stream States\n public const int ON_AIR_DEFAULT = 0;\n public const int ON_AIR_READY = 1;\n public const int ON_AIR_PREPARING = 2;\n public const int ON_AIR_STREAMING = 3;\n public const int ON_AIR_FINISHED = 4;\n public const int ON_AIR_NOT_STREAMED = 5;\n public const int ON_AIR_ERROR = -1;\n\n public const string SOURCE_GONG = 'gong';\n public const string SOURCE_CHORUS = 'chorus';\n public const string SOURCE_OUTLOOK = 'outlook';\n public const string SOURCE_GOOGLE = 'google';\n\n // Activity Providers\n public const string PROVIDER_TWILIO = 'twilio'; // XXX: This is run via the Jiminny Provider.\n public const string PROVIDER_OUTREACH = 'outreach';\n public const string PROVIDER_ZOOM_BOT = 'zoom-bot';\n public const string PROVIDER_SALESLOFT = 'salesloft';\n public const string PROVIDER_GOOGLE = 'google';\n public const string PROVIDER_AIRCALL = 'aircall';\n public const string PROVIDER_JUSTCALL = 'justcall';\n public const string PROVIDER_GOOGLE_MEET = 'google-meet';\n public const string PROVIDER_GONG = 'gong';\n public const string PROVIDER_HUBSPOT = 'hubspot';\n public const string PROVIDER_CLOSE = 'close';\n public const string PROVIDER_TEAMS = 'ms-teams';\n public const string PROVIDER_SALESFORCE = 'salesforce';\n public const string PROVIDER_GROOVE = 'groove';\n public const string PROVIDER_XANT = 'xant';\n public const string PROVIDER_OFFICE = 'office';\n public const string PROVIDER_NATTERBOX = 'natterbox';\n public const string PROVIDER_RINGCENTRAL = 'ringcentral';\n public const string PROVIDER_RINGCENTRAL_VIDEO = 'ringcentral-video';\n public const string PROVIDER_GOTOMEETING = 'go-to-meeting';\n public const string PROVIDER_DEMODESK = 'demo-desk';\n public const string PROVIDER_DIALPAD = 'dialpad';\n public const string PROVIDER_ZOOM_PHONE = 'zoom-phone';\n public const string PROVIDER_CLOUDCALL = 'cloudcall';\n public const string PROVIDER_CLOUDCALL_US = 'cloudcall-us';\n public const string PROVIDER_EIGHT_BY_EIGHT = 'eight-by-eight'; // \"8x8\" UK\n public const string PROVIDER_EIGHT_BY_EIGHT_CA = 'eight-by-eight-ca'; // \"8x8\" Canada\n public const string PROVIDER_EIGHT_BY_EIGHT_AP = 'eight-by-eight-ap'; // \"8x8\" Australia\n public const string PROVIDER_EIGHT_BY_EIGHT_US_EAST = 'eight-by-eight-use'; // \"8x8\" US East\n public const string PROVIDER_EIGHT_BY_EIGHT_US_WEST = 'eight-by-eight-usw'; // \"8x8\" US West\n public const string PROVIDER_CONNECT_AND_SELL = 'connect-and-sell';\n public const string PROVIDER_CLOUD_TALK = 'cloud-talk';\n public const string PROVIDER_AMAZON_CONNECT = 'amazon-connect';\n public const string PROVIDER_VONAGE = 'vonage';\n public const string PROVIDER_MIGRATOR = 'migrator';\n public const string PROVIDER_UPLOADER = 'uploader';\n public const string PROVIDER_TALKDESK = 'talkdesk';\n public const string PROVIDER_TWILIO_FLEX = 'twilio-flex';\n public const string PROVIDER_TWILIO_FLEX_DIRECT = 'twilio-flex-direct';\n public const string PROVIDER_TWILIO_VIDEO = 'twilio-video';\n public const string PROVIDER_AVAYA = 'avaya';\n public const string PROVIDER_TELUS = 'telus';\n public const string PROVIDER_FIVE_NINE = 'five-nine';\n public const string PROVIDER_APOLLO = 'apollo';\n public const string PROVIDER_ORUM = 'orum';\n public const string PROVIDER_BLOOBIRDS = 'bloobirds';\n\n /**\n * @const API_PROVIDERS\n * A list of integrations that import calls via API instead of webhooks\n */\n public const array API_PROVIDERS = [\n self::PROVIDER_OUTREACH,\n self::PROVIDER_SALESLOFT,\n self::PROVIDER_HUBSPOT,\n self::PROVIDER_GROOVE,\n self::PROVIDER_XANT,\n self::PROVIDER_NATTERBOX,\n self::PROVIDER_CLOUDCALL,\n self::PROVIDER_CLOUDCALL_US,\n self::PROVIDER_EIGHT_BY_EIGHT,\n self::PROVIDER_EIGHT_BY_EIGHT_CA,\n self::PROVIDER_EIGHT_BY_EIGHT_AP,\n self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,\n self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,\n self::PROVIDER_CONNECT_AND_SELL,\n self::PROVIDER_CLOUD_TALK,\n self::PROVIDER_AMAZON_CONNECT,\n self::PROVIDER_VONAGE,\n self::PROVIDER_TALKDESK,\n self::PROVIDER_TWILIO_VIDEO,\n self::PROVIDER_TWILIO_FLEX,\n self::PROVIDER_TWILIO_FLEX_DIRECT,\n self::PROVIDER_FIVE_NINE,\n self::PROVIDER_APOLLO,\n self::PROVIDER_ORUM,\n self::PROVIDER_BLOOBIRDS,\n self::PROVIDER_RINGCENTRAL,\n self::PROVIDER_AVAYA,\n self::PROVIDER_TELUS,\n ];\n\n public const array FINITE_STATES = [\n self::TYPE_SOFTPHONE => [\n self::STATUS_COMPLETED,\n self::STATUS_FAILED,\n self::STATUS_NO_ANSWER,\n self::STATUS_BUSY,\n ],\n self::TYPE_SOFTPHONE_INBOUND => [\n self::STATUS_COMPLETED,\n self::STATUS_FAILED,\n self::STATUS_NO_ANSWER,\n self::STATUS_BUSY,\n ],\n self::TYPE_CONFERENCE => self::FINITE_STATES_CONFERENCE,\n ];\n\n public const array FINITE_STATES_CONFERENCE = [\n self::STATUS_COMPLETED,\n self::STATUS_FAILED,\n self::STATUS_CANCELLED,\n ];\n\n public const array MEETING_BOT_JOIN_ATTEMPTED = [\n self::STATUS_BOT_INSTANCE_WAITING_LOBBY,\n self::STATUS_BOT_INSTANCE_STARTED,\n ];\n\n public static array $enumStatuses = [\n self::STATUS_SCHEDULED,\n self::STATUS_PENDING,\n self::STATUS_RINGING,\n self::STATUS_IN_PROGRESS,\n self::STATUS_COMPLETED,\n self::STATUS_CANCELLED,\n self::STATUS_BUSY,\n self::STATUS_NO_ANSWER,\n self::STATUS_FAILED,\n self::STATUS_ACCEPTED,\n self::STATUS_QUEUED,\n self::STATUS_SENDING,\n self::STATUS_SENT,\n self::STATUS_RESENT,\n self::STATUS_DELIVERED,\n self::STATUS_UNDELIVERED,\n self::STATUS_RECEIVING,\n self::STATUS_RECEIVED,\n self::STATUS_BOT_INSTANCE_WAITING_LOBBY,\n self::STATUS_STARTING_SOON,\n self::STATUS_BOT_INSTANCE_WORKER_ASSIGNED,\n self::STATUS_BOT_INSTANCE_STARTED,\n self::STATUS_DUPLICATED,\n ];\n\n public static array $enumProviders = [\n self::PROVIDER_TWILIO,\n self::PROVIDER_OUTREACH,\n self::PROVIDER_ZOOM_BOT,\n self::PROVIDER_SALESLOFT,\n self::PROVIDER_AIRCALL,\n self::PROVIDER_JUSTCALL,\n self::PROVIDER_GOOGLE_MEET,\n self::PROVIDER_GONG,\n self::PROVIDER_HUBSPOT,\n self::PROVIDER_CLOSE,\n self::PROVIDER_TEAMS,\n self::PROVIDER_SALESFORCE,\n self::PROVIDER_GROOVE,\n self::PROVIDER_XANT,\n self::PROVIDER_GOOGLE,\n self::PROVIDER_OFFICE,\n self::PROVIDER_NATTERBOX,\n self::PROVIDER_RINGCENTRAL,\n self::PROVIDER_RINGCENTRAL_VIDEO,\n self::PROVIDER_GOTOMEETING,\n self::PROVIDER_DEMODESK,\n self::PROVIDER_DIALPAD,\n self::PROVIDER_ZOOM_PHONE,\n self::PROVIDER_CLOUDCALL,\n self::PROVIDER_CLOUDCALL_US,\n self::PROVIDER_EIGHT_BY_EIGHT,\n self::PROVIDER_EIGHT_BY_EIGHT_CA,\n self::PROVIDER_EIGHT_BY_EIGHT_AP,\n self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,\n self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,\n self::PROVIDER_CONNECT_AND_SELL,\n self::PROVIDER_CLOUD_TALK,\n self::PROVIDER_AMAZON_CONNECT,\n self::PROVIDER_VONAGE,\n self::PROVIDER_TALKDESK,\n self::PROVIDER_TWILIO_FLEX,\n self::PROVIDER_TWILIO_FLEX_DIRECT,\n self::PROVIDER_TWILIO_VIDEO,\n self::PROVIDER_AVAYA,\n self::PROVIDER_TELUS,\n self::PROVIDER_FIVE_NINE,\n self::PROVIDER_APOLLO,\n self::PROVIDER_ORUM,\n self::PROVIDER_BLOOBIRDS,\n ];\n\n public static $enumRecordingStates = [\n self::RECORDING_OFF, // Default state\n self::RECORDING_IN_PROGRESS,\n self::RECORDING_PAUSED,\n self::RECORDING_STOPPED,\n self::RECORDING_RECORDED,\n self::RECORDING_FAILED,\n ];\n\n // @Important:\n // This collection is not used anywhere, and is fully duplicated by the Channels const.\n // Validate if it is referred somehow via the enum trait, and if not, remove it entirely.\n // An even better strategy will be to move all those constants to a dedicated class\n protected array $enumTypes = [\n self::TYPE_SOFTPHONE,\n self::TYPE_SOFTPHONE_INBOUND,\n self::TYPE_CONFERENCE,\n self::TYPE_SMS_INBOUND,\n self::TYPE_SMS_OUTBOUND,\n self::TYPE_EMAIL_INBOUND,\n self::TYPE_EMAIL_OUTBOUND,\n ];\n\n protected static $enumFailedStatuses = [\n self::STATUS_NO_ANSWER,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n self::STATUS_CANCELLED,\n ];\n\n protected $table = 'activities';\n\n protected $fillable = [\n // Type of activity.\n 'type', // @todo refactor to `channel`\n // The activity type.\n 'playbook_category_id',\n // User who hosts the activity.\n 'user_id',\n // Related Lead record (if applicable)\n 'lead_id',\n // Related Account record (if applicable)\n 'account_id',\n // Related Contact record (if applicable)\n 'contact_id',\n // Related Opportunity record (if applicable)\n 'opportunity_id',\n // Stage of activity.\n 'stage_id',\n // Value of opportunity.\n 'value',\n // If the activity relates to a CRM task.\n 'crm_provider_id',\n // If the activity was created through an external device.\n 'device_id',\n // the activity's language code\n 'language',\n // transcription id\n 'transcription_id',\n // Duration of the call, with microseconds precision.\n 'duration',\n // One of enumStatuses above.\n 'status',\n // Have we reminded them to log the call?\n 'log_reminder_sent_at',\n // If activity is private or inter-org, flagged here.\n 'is_internal',\n // Managers and above can mark a call as private, to exclude it from other team members\n 'is_private',\n 'is_processed',\n // Boolean for this activity being instant invite handled.\n 'is_instant_invite',\n // If activity is in recording state, flagged here.\n 'recording_state',\n // If activity recording is overidden from default.\n 'recording_preference',\n // if recording did (not) happen, why that is\n 'recording_reason_code',\n // Average score, updated during\n 'average_score',\n // Summary that the organizer has taken after the call.\n 'summary',\n // Subject of the activity, usually taken from calendar event.\n 'title',\n // Description of the activity, usually taken from calendar event.\n 'description',\n // Start time, usually taken from calendar event.\n 'scheduled_start_time',\n // End time, usually taken from calendar event.\n 'scheduled_end_time',\n // When the call actually started.\n 'actual_start_time',\n // When the call actually ended.\n 'actual_end_time',\n // SMS: Message reference\n 'telephony_provider_id',\n // SMS: Participant who sent message\n 'from_participant_id',\n // SMS: Participant who should receive the message\n 'to_participant_id',\n // When an external guest joins an organizers meeting room and the organizer is not present,\n // send them an SMS notification that someone has joined.\n 'organizer_notified_at',\n // where was the activity imported from\n 'source',\n // The id in the source system (e.g. the bot id in Recall.ai)\n 'external_id',\n // The provider, by default it is twilio.\n 'provider',\n // Meeting location url\n 'location',\n // The snapshot for displaying a poster image.\n 'poster_path',\n 'crm_configuration_id',\n // If there is an automated message that the conversation is being recorded\n 'has_recording_prompt',\n // If the activity is being live-streamed\n 'on_air',\n 'calendar_event_id',\n ];\n\n protected $appends = [\n 'id_string',\n 'organizer',\n ];\n\n protected $hidden = [\n 'uuid',\n ];\n\n protected $visible = [\n 'id_string',\n 'type',\n 'duration',\n 'average_score',\n 'status',\n 'log_reminder_sent_at',\n 'title',\n 'description',\n 'is_internal',\n 'scheduled_start_time',\n 'scheduled_end_time',\n 'actual_start_time',\n 'actual_end_time',\n 'user',\n 'category',\n 'account',\n 'contact',\n 'opportunity',\n 'lead',\n 'stage',\n 'stats',\n 'participants',\n 'playlists',\n 'tracks',\n 'comments',\n 'plays',\n 'coachingFeedbacks',\n 'shares',\n 'favorites',\n 'language',\n 'transcription',\n 'is_private',\n 'is_instant_invite',\n 'on_air',\n 'calendar_event_id',\n ];\n\n protected function casts(): array\n {\n return [\n 'scheduled_start_time' => 'datetime',\n 'scheduled_end_time' => 'datetime',\n 'actual_start_time' => 'datetime',\n 'actual_end_time' => 'datetime',\n 'organizer_notified_at' => 'datetime',\n 'log_reminder_sent_at' => 'datetime',\n 'is_internal' => 'boolean',\n 'duration' => 'integer',\n 'average_score' => 'decimal:2',\n 'is_private' => 'boolean',\n 'is_processed' => 'boolean',\n 'is_instant_invite' => 'boolean',\n 'value' => 'decimal:2',\n 'recording_preference' => 'boolean',\n 'recording_reason_code' => 'integer',\n 'has_recording_prompt' => 'boolean',\n 'on_air' => 'integer',\n ];\n }\n\n protected static function boot()\n {\n parent::boot();\n\n static::updated(static function (Activity $activity) {\n // If activity is about to start (pending, ringing, in-progress) or event is scheduled in less than 1 week\n if (in_array($activity->status, [Activity::STATUS_PENDING, Activity::STATUS_RINGING, Activity::STATUS_IN_PROGRESS], true) ||\n ($activity->scheduled_start_time && (int) $activity->scheduled_start_time->diffInWeeks(new Carbon(), true) < 1)) {\n if ($activity->isDirty('status')) {\n event(new StatusUpdated($activity));\n }\n\n if ($activity->isDirty('stage_id')) {\n event(new StageUpdated($activity));\n }\n\n if ($activity->isDirty(['lead_id', 'account_id', 'contact_id'])) {\n event(new ProspectUpdated($activity));\n }\n\n if ($activity->isDirty('opportunity_id')) {\n event(new ActivityUpdated($activity, 'activity.opportunity-updated', Auth::user()));\n }\n\n if ($activity->isDirty('title')) {\n event(new TitleUpdated($activity));\n }\n }\n\n if ($activity->isDirty('playbook_category_id')) {\n event(new ActivityTypeUpdated($activity));\n }\n });\n\n static::deleted(static function (Activity $activity) {\n // Hard delete associated playlistActivities\n $activity->playlistActivities()->delete();\n });\n }\n\n public function getOrganizerAttribute(): ?Participant\n {\n $participant = $this->participants()->where('user_id', $this->user_id)->first();\n\n if (! $participant instanceof Participant && $participant !== null) {\n throw new RuntimeException(sprintf('$participant must be an instance of \"%s\" or null', Participant::class));\n }\n\n return $participant;\n }\n\n public function getFormattedValueAttribute()\n {\n $currencyCode = 'USD';\n if ($this->opportunity) {\n $currencyCode = $this->opportunity->getCurrencyCode();\n }\n\n $formatter = new CurrencyFormatter();\n $formatter->setTextAttribute(NumberFormatter::CURRENCY_CODE, $currencyCode);\n $formatter->setAttribute(NumberFormatter::MAX_FRACTION_DIGITS, 0);\n\n return $formatter->format($this->value, $currencyCode);\n }\n\n public function getProspectNameAttribute(): ?string\n {\n $prospectName = null;\n\n if ($this->lead_id) {\n $prospectName = $this->lead->name;\n } elseif ($this->contact_id) {\n $prospectName = $this->contact->name;\n } elseif ($this->account_id) {\n $prospectName = $this->account->name;\n }\n\n return $prospectName;\n }\n\n public function getProspectName(): ?string\n {\n /** @var string|null */\n return $this->getAttribute('prospect_name');\n }\n\n /**\n * Get activity title depending on prospect or title\n */\n public function getActivityTitleAttribute(): ?string\n {\n $activityTitle = null;\n if ($this->prospect && $this->prospect->getName()) {\n if ($this->account_id) {\n $activityTitle = $this->account->name;\n } elseif ($this->lead_id) {\n $activityTitle = $this->lead->company;\n } elseif ($this->contact_id) {\n $activityTitle = $this->contact->account ? $this->contact->account->name : $this->contact->name;\n }\n } elseif ($this->title) {\n $activityTitle = $this->title;\n }\n\n return $activityTitle;\n }\n\n public function wasRecentlyCreated(): bool\n {\n return $this->wasRecentlyCreated;\n }\n\n public function getProspectTypeAttribute()\n {\n $prospectType = null;\n\n if ($this->lead_id) {\n $prospectType = 'Lead';\n } elseif ($this->contact_id) {\n $prospectType = 'Contact';\n } elseif ($this->account_id) {\n $prospectType = 'Account';\n }\n\n return $prospectType;\n }\n\n /**\n * Return the best match for prospect. Results are in the following order of priority:\n * 1. Lead\n * 2. Contact\n * 3. Account\n * 4. NULL\n */\n public function getProspectAttribute(): ?ProspectInterface\n {\n if ($this->hasLead()) {\n return $this->getLead();\n }\n\n if ($this->hasContact()) {\n return $this->getContact();\n }\n\n if ($this->hasAccount()) {\n return $this->getAccount();\n }\n\n return null;\n }\n\n public function getTitleAttribute($value): ?string\n {\n return \\getActivityTitleAttribute(\n $this->user->name,\n $this->getType(),\n $value,\n $this->prospect->name ?? null,\n $this->from->national_phone_number ?? null\n );\n }\n\n public function getTitle(): ?string\n {\n return $this->getAttribute('title');\n }\n\n public function getSummary(): ?string\n {\n return $this->getAttribute('summary');\n }\n\n public function isInternal(): bool\n {\n return $this->getAttribute('is_internal');\n }\n\n public function getIsPrivate(): bool\n {\n return $this->getAttribute('is_private');\n }\n\n public function getDescription(): ?string\n {\n return $this->getAttribute('description');\n }\n\n public function hasTitle(): bool\n {\n return $this->getOriginal('title') !== null;\n }\n\n public function getPlayCountAttribute()\n {\n return $this->getPlaysCountAttribute();\n }\n\n public function getPlaysCountAttribute()\n {\n if (! isset($this->attributes['plays_count'])) {\n $this->loadCount('plays');\n }\n\n return $this->attributes['plays_count'];\n }\n\n public function getCommentCountAttribute()\n {\n return $this->getCommentsCountAttribute();\n }\n\n public function getCommentsCountAttribute()\n {\n if (! isset($this->attributes['comments_count'])) {\n $this->loadCount('comments');\n }\n\n return $this->attributes['comments_count'];\n }\n\n public function getVisibleCommentsCountAttribute()\n {\n if (! isset($this->attributes['visible_comments_count'])) {\n $activityCommentsService = app(ActivityCommentService::class);\n $user = Auth::user() instanceof User ? Auth::user() : null;\n $this->attributes['visible_comments_count'] = $activityCommentsService\n ->getVisibleCommentsCount($this, $user);\n }\n\n return $this->attributes['visible_comments_count'];\n }\n\n public function getShareCountAttribute()\n {\n return $this->getSharesCountAttribute();\n }\n\n public function getSharesCountAttribute()\n {\n if (! isset($this->attributes['shares_count'])) {\n $this->loadCount('shares');\n }\n\n return $this->attributes['shares_count'];\n }\n\n\n /**\n * Get the count of favorites playlists this activity appears in\n */\n public function getFavoriteCountAttribute(): int\n {\n return $this->getFavoritesCountAttribute();\n }\n\n public function getFavoritesCountAttribute()\n {\n if (! isset($this->attributes['favorites_count'])) {\n $this->loadCount('favorites');\n }\n\n return $this->attributes['favorites_count'];\n }\n\n public function getActiveParticipantsCountAttribute()\n {\n if (! isset($this->attributes['active_participants_count'])) {\n $this->loadCount('activeParticipants');\n }\n\n return $this->attributes['active_participants_count'];\n }\n\n public function getTracksWithTelephonyCountAttribute()\n {\n if (! isset($this->attributes['tracks_with_telephony_count'])) {\n $this->loadCount('tracksWithTelephony');\n }\n\n return $this->attributes['tracks_with_telephony_count'];\n }\n\n /**\n * @TEMP\n * $this->loadCount('tracksWithTelephony') throws null pointer exception\n */\n public function countTracksWithTelephony(): int\n {\n return $this->tracks()->whereNotNull('telephony_provider_id')->count();\n }\n\n public function getDuration(): float\n {\n return $this->getAttribute('duration');\n }\n\n public function getDurationForHumansAttribute()\n {\n return Carbon::now()->subSeconds($this->duration)->diffForHumans(now(), true);\n }\n\n public function getDurationForHumansShortAttribute(): string\n {\n return Carbon::now()->subSeconds($this->duration)->diffForHumans(now(), true, true);\n }\n\n public function hasRecordingPreference(): bool\n {\n return $this->getAttribute('recording_preference') !== null;\n }\n\n public function getRecordingPreference()\n {\n return $this->getAttribute('recording_preference');\n }\n\n /** @return BelongsTo<User, self> */\n public function user(): BelongsTo\n {\n return $this->belongsTo(User::class)->with('group');\n }\n\n public function device()\n {\n return $this->belongsTo(Device::class);\n }\n\n public function category()\n {\n return $this->belongsTo(PlaybookCategory::class, 'playbook_category_id');\n }\n\n public function getCategory(): ?PlaybookCategory\n {\n return $this->getAttribute('category');\n }\n\n public function getPlaybookCategoryId(): ?int\n {\n return $this->getAttribute('playbook_category_id');\n }\n\n public function hasStats(): bool\n {\n return $this->getAttribute('stats') !== null;\n }\n\n public function getStats(): ?Stats\n {\n return $this->getAttribute('stats');\n }\n\n public function stats(): HasOne\n {\n return $this->hasOne(Stats::class);\n }\n\n public function participantStats(): Eloquent\\Relations\\HasManyThrough\n {\n return $this->hasManyThrough(\n Models\\Participant\\ParticipantStats::class,\n Participant::class,\n 'activity_id',\n 'participant_id'\n );\n }\n\n public function getParticipantStats(): Eloquent\\Collection\n {\n return $this->getAttribute('participantStats');\n }\n\n public function account()\n {\n return $this->belongsTo(Account::class);\n }\n\n public function contact()\n {\n return $this->belongsTo(Contact::class)->with(['account']);\n }\n\n public function lead()\n {\n return $this->belongsTo(Lead::class)->with(['stage', 'recordType']);\n }\n\n /**\n * @return BelongsTo<Opportunity, self>\n */\n public function opportunity(): BelongsTo\n {\n /** @var BelongsTo<Opportunity, self> */\n return $this->belongsTo(Opportunity::class);\n }\n\n public function stage()\n {\n return $this->belongsTo(Stage::class);\n }\n\n /**\n * @return HasMany<Session>\n */\n public function sessions(): HasMany\n {\n return $this->hasMany(Session::class);\n }\n\n /**\n * @return HasMany|ParticipantSpeech[]|Eloquent\\Collection\n */\n public function participantSpeeches()\n {\n return $this->hasMany(ParticipantSpeech::class);\n }\n\n public function getParticipantSpeeches(): Eloquent\\Collection\n {\n return $this->getAttribute('participantSpeeches');\n }\n\n /**\n * @return HasMany|Log[]|Eloquent\\Collection\n */\n public function logs()\n {\n return $this->hasMany(Log::class);\n }\n\n /**\n * @return HasMany|Moment[]|Eloquent\\Collection\n */\n public function moments()\n {\n return $this->hasMany(Moment::class);\n }\n\n /**\n * @return HasMany|Note[]|Eloquent\\Collection\n */\n public function notes()\n {\n return $this->hasMany(Note::class);\n }\n\n /**\n * @return Eloquent\\Collection|Note[]\n */\n public function getNotes(): Eloquent\\Collection\n {\n return $this->getAttribute('notes');\n }\n\n /**\n * @return HasMany|Message[]|Eloquent\\Collection\n */\n public function messages()\n {\n return $this->hasMany(Message::class);\n }\n\n public function coachingMessages(): HasMany\n {\n return $this->hasMany(Message::class)\n ->where('is_private', 1);\n }\n\n public function getCoachingMessages(): Eloquent\\Collection\n {\n return $this->getAttribute('coachingMessages');\n }\n\n public function participants(): HasMany\n {\n return $this->hasMany(Participant::class);\n }\n\n public function getSnapshots(): Eloquent\\Collection\n {\n return $this->getAttribute('snapshots');\n }\n\n /** @return HasMany<Track> */\n public function tracks(): HasMany\n {\n return $this->hasMany(Track::class);\n }\n\n public function tracksWithTelephony(): HasMany\n {\n return $this->hasMany(Track::class)->whereNotNull('telephony_provider_id');\n }\n\n public function getTracksWithTelephony(): Eloquent\\Collection\n {\n return $this->getAttribute('tracksWithTelephony');\n }\n\n /** @return Collection|Track[] */\n public function getTracks(): Eloquent\\Collection\n {\n return $this->getAttribute('tracks');\n }\n\n public function masterTrack(): HasOne\n {\n return $this->hasOne(Track::class)->where('is_master', 1)\n ->whereIn('format', [Track::FORMAT_WAV, Track::FORMAT_M3U8])\n ->latest();\n }\n\n public function getMasterTrack(): ?Track\n {\n /** @var Track|null */\n return $this->getAttribute('masterTrack');\n }\n\n public function transcription(): Eloquent\\Relations\\BelongsTo\n {\n return $this->belongsTo(Transcription::class, 'transcription_id');\n }\n\n public function findTranscriptionPromptSummaries(): Collection\n {\n $transcriptionId = $this->getTranscriptionId();\n if (is_null($transcriptionId)) {\n return new Collection();\n }\n\n return Models\\AiPrompt::query()\n ->where('transcription_id', $transcriptionId)\n ->get();\n }\n\n public function getTranscription(): Transcription\n {\n return $this->getAttribute('transcription');\n }\n\n public function hasTranscription(): bool\n {\n return $this->getAttribute('transcription') !== null;\n }\n\n public function setTranscriptionId(int $transcriptionId): Activity\n {\n $this->setAttribute('transcription_id', $transcriptionId);\n\n return $this;\n }\n\n public function unsetTranscriptionId(): self\n {\n $this->setAttribute('transcription_id', null);\n\n return $this;\n }\n\n public function getTranscriptionId(): ?int\n {\n return $this->getAttribute('transcription_id');\n }\n\n /** @deprecated */\n public function hasTranscriptionId(): bool\n {\n return $this->getAttribute('transcription_id') !== null;\n }\n\n public function coachRequests()\n {\n return $this->hasMany(CoachRequest::class);\n }\n\n public function availabilityNotifications()\n {\n return $this->hasMany(AvailabilityNotification::class);\n }\n\n public function processingStates()\n {\n return $this->hasMany(Models\\Activity\\ActivityProcessingState::class);\n }\n\n public function uploadSettings()\n {\n return $this->hasMany(ActivityUploadSetting::class);\n }\n\n public function comments()\n {\n return $this->hasMany(Comment::class);\n }\n\n public function getComments(): Eloquent\\Collection\n {\n return $this->getAttribute('comments');\n }\n\n public function visibleComments()\n {\n $rel = $this->hasMany(Comment::class);\n // Doesn't have auth()->user() in some tests, breaks the build\n if ($user = auth()->user()) {\n return $rel->visibleThreads($user->id);\n }\n\n return $rel;\n }\n\n public function snapshots(): HasMany\n {\n return $this->hasMany(Snapshot::class);\n }\n\n public function calendarEvent()\n {\n return $this->belongsTo(CalendarEvent::class);\n }\n\n public function getCalendarEvent(): ?CalendarEvent\n {\n return $this->getAttribute('calendarEvent');\n }\n\n public function latestCoachingFeedbacks(): HasMany\n {\n return $this->hasMany(CoachingFeedback::class)->latest();\n }\n\n public function playlists(): BelongsToMany\n {\n return $this->belongsToMany(Playlist::class, 'playlist_activities')\n ->withPivot('id', 'uuid', 'user_id', 'start_time', 'end_time')\n ->using(PlaylistActivity::class)\n ->withTimestamps();\n }\n\n public function coachingFeedbacks(): HasMany\n {\n return $this->hasMany(CoachingFeedback::class);\n }\n\n /**\n * @return Eloquent\\Collection|CoachingFeedback[]\n */\n public function getCoachingFeedback(?int $visibility = null): Eloquent\\Collection\n {\n $feedbacks = $this->coachingFeedbacks();\n if ($visibility !== null) {\n $feedbacks = $feedbacks->where('visibility', $visibility);\n }\n\n return $feedbacks->get();\n }\n\n /** @return Eloquent\\Collection<int, PlaylistActivity> */\n public function favoritedBy(User $user): Eloquent\\Collection\n {\n return $this->favorites()->where('user_id', $user->getId())->get();\n }\n\n /**\n * Checks whether consumer has added this activity to their favorites playlist\n * In addition a default playlist gets created if not already present\n */\n public function wasFavoritedBy(User $user): bool\n {\n $playlist = $user->favoritePlaylist();\n\n return $playlist\n ->activities()\n ->where('activity_id', '=', $this->getId())\n ->exists();\n }\n\n /**\n * @return HasMany<PlaylistActivity>\n */\n public function playlistActivities(): HasMany\n {\n return $this->hasMany(PlaylistActivity::class);\n }\n\n /**\n * @return HasManyThrough<Playlist>\n */\n public function favoritePlaylists(): HasManyThrough\n {\n return $this->hasManyThrough(\n Playlist::class,\n PlaylistActivity::class,\n 'activity_id',\n 'id',\n 'id',\n 'playlist_id'\n )->where('is_default', 1);\n }\n\n /**\n * @return Eloquent\\Collection<int, Playlist>\n */\n public function getFavoritePlaylists(): Eloquent\\Collection\n {\n return $this->getAttribute('favoritePlaylists');\n }\n\n /**\n * Get activities from the default/favorite playlist\n *\n * @return Eloquent\\Builder|static\n */\n public function favorites()\n {\n return $this->playlistActivities()->whereHas('playlist', function ($query) {\n $query->where('is_default', 1);\n });\n }\n\n /**\n * @return Model|SubscriptionSet|null|object\n */\n public function subscribedBy(User $user)\n {\n if ($this->prospect === null) {\n return null;\n }\n\n return SubscriptionSet::select('activity_subscription_sets.*')\n ->where('user_id', $user->id)\n ->join('activity_subscriptions', function ($join) {\n $join\n ->on('subscription_set_id', '=', 'activity_subscription_sets.id');\n\n if ($this->account_id) {\n if ($this->opportunity_id) {\n $join\n ->where('followable_type', 'opportunity')\n ->where('followable_id', $this->opportunity_id);\n } else {\n $join\n ->where('followable_type', 'account')\n ->where('followable_id', $this->account_id);\n }\n } elseif ($this->contact_id) {\n $join\n ->where('followable_type', 'contact')\n ->where('followable_id', $this->contact_id);\n } elseif ($this->lead_id) {\n $join\n ->where('followable_type', 'lead')\n ->where('followable_id', $this->lead_id);\n }\n })\n ->first();\n }\n\n /**\n * @return array|Eloquent\\Builder[]|Eloquent\\Collection|SubscriptionSet[]\n */\n public function subscribers()\n {\n if ($this->prospect === null) {\n return [];\n }\n\n return SubscriptionSet::with(['subscriptions', 'user'])\n ->whereHas('subscriptions', function ($query) {\n if ($this->account_id) {\n if ($this->opportunity_id) {\n $query\n ->where('followable_type', 'opportunity')\n ->where('followable_id', $this->opportunity_id);\n } else {\n $query\n ->where('followable_type', 'account')\n ->where('followable_id', $this->account_id);\n }\n } elseif ($this->contact_id) {\n $query\n ->where('followable_type', 'contact')\n ->where('followable_id', $this->contact_id);\n } elseif ($this->lead_id) {\n $query\n ->where('followable_type', 'lead')\n ->where('followable_id', $this->lead_id);\n } else {\n // Nothing to join on?\n // refactor - use Jiminny specific exception\n throw new InvalidArgumentException('Cannot join on a specific customer filter.');\n }\n })\n ->whereHas('user', function ($query) {\n $query\n ->where('team_id', $this->user->team_id)\n ->where('status', User::STATUS_ACTIVE);\n })\n ->get();\n }\n\n /**\n * @return HasMany|Builder|Eloquent\\Collection|Play[]\n */\n public function plays()\n {\n return $this->hasMany(Play::class);\n }\n\n public function getPlays(): Eloquent\\Collection\n {\n return $this->getAttribute('plays');\n }\n\n public function playsBy(User $user)\n {\n /** @var Builder $builder */\n $builder = $this->plays()->where('user_id', $user->id);\n\n return $builder->get();\n }\n\n /**\n * Check if activity was played by a user\n */\n public function wasPlayedBy(User $user): bool\n {\n return $this->plays()->where('user_id', $user->id)->exists();\n }\n\n public function shares()\n {\n return $this->hasMany(Share::class);\n }\n\n /** @return BelongsTo<Participant, self> */\n public function from(): BelongsTo\n {\n return $this->belongsTo(Participant::class, 'from_participant_id');\n }\n\n /** @return BelongsTo<Participant, self> */\n public function to(): BelongsTo\n {\n return $this->belongsTo(Participant::class, 'to_participant_id');\n }\n\n /**\n * Get all of the connections through the participants.\n */\n public function connections()\n {\n return $this->hasManyThrough(\n Connection::class,\n Participant::class,\n 'activity_id',\n 'participant_id'\n );\n }\n\n public function getConnections(): Eloquent\\Collection\n {\n return $this->getAttribute('connections');\n }\n\n /**\n * Get all of the shares through the participants.\n */\n public function participantShares()\n {\n return $this->hasManyThrough(\n Participant\\Share::class,\n Participant::class,\n 'activity_id',\n 'participant_id'\n );\n }\n\n public function getParticipantShares(): Eloquent\\Collection\n {\n return $this->getAttribute('participantShares');\n }\n\n public function topicTriggers(): HasMany\n {\n return $this->hasMany(TopicTrigger::class);\n }\n\n public function activityScorecardRuleTriggers(): HasMany\n {\n return $this->hasMany(Models\\Scorecard\\ActivityScorecardRuleTrigger::class);\n }\n\n public function activityScorecardRules(): HasMany\n {\n return $this->hasMany(Models\\Scorecard\\ActivityScorecardRule::class);\n }\n\n public function questions(): HasMany\n {\n return $this->hasMany(Question::class);\n }\n\n /**\n * Get all the custom data attached to it.\n */\n public function data(): HasMany\n {\n return $this->hasMany(FieldData::class);\n }\n\n public function getData(): Eloquent\\Collection\n {\n /** @var Eloquent\\Collection */\n return $this->getAttribute('data');\n }\n\n #[Scope]\n protected function heldBetween($query, Carbon $start, Carbon $end)\n {\n // Sanity check.\n $from = min($start, $end);\n $until = max($start, $end);\n\n return $query\n ->where('actual_start_date', '>=', $from)\n ->where('actual_end_date', '<=', $until);\n }\n\n #[Scope]\n protected function scheduledBetween($query, Carbon $start, Carbon $end)\n {\n // Sanity check.\n $from = min($start, $end);\n $until = max($start, $end);\n\n return $query\n ->where('scheduled_start_date', '>=', $from)\n ->where('scheduled_end_date', '<=', $until);\n }\n\n /**\n * @param Builder<self> $query\n *\n * @return Builder<self>\n */\n #[Scope]\n protected function forTeam(Builder $query, int $teamId): Builder\n {\n /** @var Builder<self> */\n return $query->whereHas('user', static function (Builder $query) use ($teamId): void {\n $query->where('team_id', $teamId);\n });\n }\n\n /**\n * @param Builder<self> $query\n *\n * @return Builder<self>\n */\n #[Scope]\n protected function inOpenDeals(Builder $query): Builder\n {\n /** @var Builder<self> */\n return $query->whereHas(\n 'opportunity',\n static fn (Builder $query): Builder => $query\n ->where('is_closed', false)\n ->where('deleted_at', '=', null),\n );\n }\n\n /**\n * @param Builder<self> $query\n *\n * @return Builder<self>\n */\n #[Scope]\n protected function notInOpenDeals(Builder $query): Builder\n {\n /** @var Builder<self> */\n return $query->where(\n static fn (Builder $query): Builder => $query->whereNull('opportunity_id')\n ->orWhereHas(\n 'opportunity',\n static fn (Builder $query): Builder => $query->where('is_closed', true),\n )\n ->orWhereHas(\n 'opportunity',\n static fn (Builder $query): Builder => $query->withTrashed()->where('deleted_at', '!=', null),\n ),\n );\n }\n\n /**\n * Finds a participant and updates it with data. If participant doesn't exist creates a new participant from data.\n *\n * @param array $data participant data used to identify the participant and update it\n * @param bool $enterRoom true if participant is entering the room. false if we just want to update some participant data\n * @param Carbon|null $enterTime if $enterNow is true then this is the join time when the actual enter has occurred\n */\n public function updateOrCreateParticipant(\n array $data,\n bool $enterRoom = true,\n ?Carbon $enterTime = null,\n bool $nameMatching = false,\n ): Participant {\n $search = [];\n $participant = null;\n\n if (isset($data['user_id'])) {\n // Check if they already exist based on their ID.\n $search['user_id'] = $data['user_id'];\n } elseif (isset($data['provider_id'])) {\n $search['provider_id'] = $data['provider_id'];\n } elseif ($nameMatching && isset($data['name'])) {\n $search['name'] = $data['name'];\n }\n\n if (! empty($data['email'])) {\n $search['email'] = $data['email'];\n\n // If we have their email, this should be unique enough to lookup (e.g. calendar event based participant).\n unset($search['provider_id']);\n }\n\n // Search by phone number only in case nothing else is available to search by.\n if (array_key_exists('phone_number', $data) && empty($search)) {\n $search['phone_number'] = $data['phone_number'];\n }\n\n if (! empty($search)) {\n // Do a lookup now to see if we have a match on the provided data.\n $lookup = array_map(static function ($key, $value): array {\n return [$key, $value];\n }, array_keys($search), $search);\n\n $participant = $this->participants()->withTrashed()->where($lookup)->first();\n }\n\n // Do a partial match on the name and search in the team members.\n if (! $participant instanceof Participant && $nameMatching && ! empty($data['name'])) {\n $participantMatcher = app(MeetingBot\\Service\\ParticipantMatcher::class);\n\n if (! $participantMatcher instanceof MeetingBot\\Service\\ParticipantMatcher) {\n throw new LogicException('Expecting ParticipantMatcher service instance');\n }\n\n $participant = $participantMatcher->match($this, $data['name']);\n\n // If we've found good participant, avoid data overwrite in `$participant->fill($data)` below.\n if ($participant instanceof Models\\Participant && $participant->hasName()) {\n unset($data['name']); // Thoughts: should we unset also $data['user_id'] and $data['email'] ?\n }\n }\n\n if (! $participant instanceof Participant) {\n // If no match, create a new participant.\n if (empty($search)) {\n $participant = $this->participants()->create();\n } else {\n // If no match, create a new participant but avoid creating duplicates\n $participant = $this->participants()->withTrashed()->firstOrNew($search);\n }\n }\n\n // If we have just recycled a deleted participant\n if ($participant->trashed()) {\n $participant->deleted_at = null;\n }\n\n // Deal with the case when calendar syncs the event while it's in progress.\n // We should prevent change of the participant name, because speeches mapping will fail.\n if ($enterRoom === false\n && $this->isInProgress()\n && $participant->hasName()\n && isset($data['name'])\n && $data['name'] !== $participant->getName()\n ) {\n unset($data['name']);\n }\n\n // Upsert with new data.\n $participant->fill($data);\n\n if ($enterRoom) {\n if ($enterTime === null) {\n $enterTime = now();\n }\n\n // Participant enters room for the first time\n if ($participant->enter_time === null) {\n $participant->enter_time = $enterTime;\n }\n\n // If there is an exit time and it's prior to new enter_time\n if ($participant->exit_time && $participant->exit_time->lt($enterTime)) {\n // Participant has re-joined\n $participant->exit_time = null;\n }\n }\n\n $participant->save();\n\n return $participant;\n }\n\n /**\n * Updates participant CRM data\n *\n * @param array{\n * Lead|null,\n * Account|null,\n * Opportunity|null,\n * Contact|null,\n * Stage|null,\n * string|null\n *} $records\n * @param Participant $participant participant the CRM data is associated with\n */\n public function updateParticipantCrmData(array $records, Participant $participant): void\n {\n // Extract the records.\n [$lead, , , $contact] = $records;\n\n $resolver = $this->getUpdateCrmDataResolver();\n $strategy = $resolver->resolveForParticipant($lead, $contact);\n\n if ($strategy == UpdateCrmDataByStrategy::Lead) {\n if (! $participant->hasName()) {\n $participant->name = $lead->name;\n }\n\n if (! $participant->hasEmailAddress()) {\n $participant->email = $lead->email;\n }\n\n if (! $participant->hasPhoneNumber()) {\n $participant->phone_number = $lead->phone;\n }\n\n $participant->lead_id = $lead->id;\n $participant->save();\n } elseif ($strategy == UpdateCrmDataByStrategy::Contact) {\n if (! $participant->hasName()) {\n $participant->name = $contact->name;\n }\n\n if (! $participant->hasEmailAddress()) {\n $participant->email = $contact->email;\n }\n\n if (! $participant->hasPhoneNumber()) {\n $participant->phone_number = $contact->phone;\n }\n\n $participant->contact_id = $contact->id;\n $participant->save();\n }\n }\n\n /**\n * Updates activity CRM data\n *\n * @param array{\n * Lead|null,\n * Account|null,\n * Opportunity|null,\n * Contact|null,\n * Stage|null,\n * string|null\n *} $records\n */\n public function updateActivityCrmData(array $records): void\n {\n // Extract the records.\n [$lead, $account, $opportunity, $contact, $stage] = $records;\n\n $resolver = $this->getUpdateCrmDataResolver();\n $strategy = $resolver->resolveForActivity($lead, $contact, $account);\n\n if ($strategy == UpdateCrmDataByStrategy::Lead) {\n // Also update the parent activity if required, checking we don't create a mixed lead/account record.\n if ($this->account_id === null && $this->contact_id === null && $this->lead_id === null) {\n $this->lead_id = $lead->id;\n\n if ($this->stage_id === null && $stage) {\n $this->stage_id = $stage->id;\n }\n\n $this->save();\n }\n } elseif ($strategy == UpdateCrmDataByStrategy::Contact) {\n // Also update the parent activity if required, checking we don't create a mixed lead/account record.\n $this->lead_id = null;\n if ($this->stage && $this->stage->getType() === Stage::TYPE_LEAD) {\n $this->stage_id = null;\n }\n\n // Don't trust previous matched account_id as it might have been changed in the CRM\n if ($account && $account->id !== $this->account_id) {\n $this->account_id = $account->id;\n }\n\n if ($this->stage_id === null && $stage) {\n $this->stage_id = $stage->id;\n }\n\n if ($opportunity && $this->opportunity_id !== $opportunity->id) {\n $this->opportunity_id = $opportunity->id;\n }\n\n if ($opportunity && $this->value !== $opportunity->value) {\n $this->value = $opportunity->value;\n }\n\n // Always set contact_id when available, regardless of account_id status\n if ($this->contact_id === null && $contact) {\n $this->contact_id = $contact->id;\n }\n\n $this->save();\n } elseif ($strategy == UpdateCrmDataByStrategy::Account && $this->account_id === null) {\n // Also update the parent activity if required, checking we don't create a mixed lead/account record.\n $this->lead_id = null;\n if ($this->stage && $this->stage->getType() === Stage::TYPE_LEAD) {\n $this->stage_id = null;\n }\n\n // Update the account and opportunity on the activity record if possible.\n $this->account_id = $account->id;\n\n if ($this->stage_id === null && $stage) {\n $this->stage_id = $stage->id;\n }\n\n if ($this->opportunity_id === null && $opportunity) {\n $this->opportunity_id = $opportunity->id;\n $this->value = $opportunity->value;\n }\n\n $this->save();\n }\n }\n\n public function getActivityProspectData(): array\n {\n return [\n 'lead' => $this->lead_id,\n 'contact' => $this->contact_id,\n 'account' => $this->account_id,\n 'opportunity' => $this->opportunity_id,\n 'stage' => $this->stage_id,\n ];\n }\n\n public function isOrganizer(User $user): bool\n {\n return $this->user_id && $this->user_id === $user->id;\n }\n\n public function isJoinable(): bool\n {\n return \\in_array($this->status, [\n self::STATUS_SCHEDULED,\n self::STATUS_PENDING,\n self::STATUS_RINGING,\n self::STATUS_IN_PROGRESS,\n ], true);\n }\n\n public function isAttemptedForBotJoin(): bool\n {\n return in_array($this->getAttribute('status'), self::MEETING_BOT_JOIN_ATTEMPTED, true);\n }\n\n /**\n * Check if the activity can be saved to CRM (manual or autolog)\n */\n public function isLoggable(): bool\n {\n if ($this->getUser()->getTeam()->hasFeature(FeatureEnum::SIDEKICK_SETTINGS)) {\n $sidekickService = app(SidekickService::class);\n\n if (! $sidekickService->isSidekickEnabledForUser($this->getUser())) {\n return false;\n }\n }\n\n // If we don't know the activity type, don't try to log.\n if ($this->playbook_category_id === null) {\n return false;\n }\n\n if ($this->user->crm_required === false) {\n return false;\n }\n\n // Don't prompt for internal meetings.\n if ($this->is_internal) {\n return false;\n }\n\n // If we don't know who we are trying to log to, don't try to log.\n if ($this->prospect === null) {\n return false;\n }\n\n $validStatus = false;\n switch ($this->type) {\n case self::TYPE_SOFTPHONE:\n case self::TYPE_SOFTPHONE_INBOUND:\n $validStatus = true;\n\n break;\n case self::TYPE_CONFERENCE:\n $validStatus = in_array($this->status, [\n self::STATUS_BUSY,\n self::STATUS_NO_ANSWER,\n self::STATUS_COMPLETED,\n self::STATUS_CANCELLED,\n ], true);\n\n break;\n case self::TYPE_SMS_INBOUND:\n case self::TYPE_SMS_OUTBOUND:\n $validStatus = in_array($this->status, [\n self::STATUS_QUEUED,\n self::STATUS_SENT,\n self::STATUS_UNDELIVERED,\n self::STATUS_DELIVERED,\n self::STATUS_RECEIVED,\n ], true);\n\n break;\n }\n\n // Depending on the activity channel, we should not try to log.\n return $validStatus;\n }\n\n public function isScheduled(): bool\n {\n return $this->status === self::STATUS_SCHEDULED;\n }\n\n public function scheduledDuration(): int\n {\n if ($this->scheduled_start_time && $this->scheduled_end_time) {\n return $this->scheduled_end_time->timestamp - $this->scheduled_start_time->timestamp;\n }\n\n return 0;\n }\n\n public function isPending(): bool\n {\n return $this->status === self::STATUS_PENDING;\n }\n\n public function isCompleted(): bool\n {\n return $this->status === self::STATUS_COMPLETED;\n }\n\n public function isRinging(): bool\n {\n return $this->status === self::STATUS_RINGING;\n }\n\n public function isInProgress(): bool\n {\n return $this->status === self::STATUS_IN_PROGRESS;\n }\n\n public function isBusy(): bool\n {\n return $this->status === self::STATUS_BUSY;\n }\n\n public function isNoAnswer(): bool\n {\n return $this->status === self::STATUS_NO_ANSWER;\n }\n\n public function isFailed(): bool\n {\n return $this->status === self::STATUS_FAILED;\n }\n\n public function isCancelled(): bool\n {\n return $this->status === self::STATUS_CANCELLED;\n }\n\n public function hasEnded(int $gracePeriodMinutes = 15): bool\n {\n if ($this->isCompleted()) {\n return true;\n }\n\n if (($this->isFailed() || $this->isCancelled()) && $this->hasScheduledEndTime()) {\n return $this->getScheduledEndTime()->addMinutes($gracePeriodMinutes)->isPast();\n }\n\n return false;\n }\n\n public function hasStarted(): bool\n {\n return $this->hasActualStartTime();\n }\n\n public function isOngoing(): bool\n {\n return $this->hasActualStartTime() && ! $this->hasActualEndTime();\n }\n\n public function isTypeSmsInbound(): bool\n {\n return $this->getType() === self::TYPE_SMS_INBOUND;\n }\n\n public function isTypeSmsOutbound(): bool\n {\n return $this->getType() === self::TYPE_SMS_OUTBOUND;\n }\n\n public function isTypeSoftPhone(): bool\n {\n return $this->getType() === self::TYPE_SOFTPHONE;\n }\n\n public function isTypeSoftphoneInbound(): bool\n {\n return $this->getType() === self::TYPE_SOFTPHONE_INBOUND;\n }\n\n public function isTypeConference(): bool\n {\n return $this->getType() === self::TYPE_CONFERENCE;\n }\n\n /**\n * Get a conference elapsed time in seconds.\n *\n * @return int seconds count\n */\n public function secondsTimeElapsed(): int\n {\n if (empty($this->actual_start_time)) {\n return 0;\n }\n\n // Get number of seconds since conference actual start time\n return (int) abs(Carbon::now()->diffInRealSeconds($this->actual_start_time));\n }\n\n /**\n * Get a conference elapsed time formatted as \"1:30:20\" if more than 1 hour or \"30:20\" otherwise.\n */\n public function formattedTimeElapsed(): string\n {\n // Get number of seconds since conference actual start time.\n $elapsedSeconds = $this->secondsTimeElapsed();\n $elapsedTime = Carbon::createFromTimestampUTC($elapsedSeconds);\n\n // Format conference start time.\n return $elapsedTime->format($elapsedSeconds < 3600 ? 'i:s' : 'G:i:s');\n }\n\n public function wasScheduled(): bool\n {\n return $this->calendarEvent !== null || in_array($this->getSource(), [self::SOURCE_OUTLOOK, self::SOURCE_GOOGLE]);\n }\n\n public function isInstant(): bool\n {\n return ! $this->wasScheduled();\n }\n\n /**\n * GETTERS AND SETTERS FOLLOW BELOW\n */\n\n public function getUuid(): string\n {\n return $this->getAttribute('id_string');\n }\n\n public function getId(): int\n {\n return $this->getAttribute('id');\n }\n\n public function getFromParticipantId(): ?int\n {\n return $this->getAttribute('from_participant_id');\n }\n\n public function getFromParticipant(): ?Participant\n {\n return $this->getAttribute('from');\n }\n\n public function getToParticipantId(): ?int\n {\n return $this->getAttribute('to_participant_id');\n }\n\n public function getToParticipant(): ?Participant\n {\n return $this->getAttribute('to');\n }\n\n public function hasScheduledStartTime(): bool\n {\n return $this->getAttribute('scheduled_start_time') !== null;\n }\n\n public function getScheduledStartTime(): ?Carbon\n {\n return $this->getAttribute('scheduled_start_time');\n }\n\n public function setScheduledStartTime(DateTimeInterface $dateTime): self\n {\n $this->setAttribute('scheduled_start_time', $dateTime);\n\n return $this;\n }\n\n public function getScheduledEndTime(): ?DateTimeInterface\n {\n return $this->getAttribute('scheduled_end_time');\n }\n\n public function hasScheduledEndTime(): bool\n {\n return $this->getAttribute('scheduled_end_time') !== null;\n }\n\n public function setScheduledEndTime(DateTimeInterface $dateTime): self\n {\n $this->setAttribute('scheduled_end_time', $dateTime);\n\n return $this;\n }\n\n public function getActualStartTime(): ?Carbon\n {\n return $this->getAttribute('actual_start_time');\n }\n\n public function hasActualStartTime(): bool\n {\n return $this->getAttribute('actual_start_time') !== null;\n }\n\n public function getActualEndTime(): ?Carbon\n {\n return $this->getAttribute('actual_end_time');\n }\n\n public function hasActualEndTime(): bool\n {\n return $this->getAttribute('actual_end_time') !== null;\n }\n\n public function getType(): ?string\n {\n return $this->getAttribute('type');\n }\n\n public function getStatus(): string\n {\n return $this->getAttribute('status');\n }\n\n public function setStatus(string $status): self\n {\n $this->setAttribute('status', $status);\n\n return $this;\n }\n\n public function setActualStartTime(DateTimeInterface $dateTime): self\n {\n $this->setAttribute('actual_start_time', $dateTime);\n\n return $this;\n }\n\n public function setActualEndTime(DateTimeInterface $dateTime, bool $shouldUpdateDuration = true): self\n {\n $this->setAttribute('actual_end_time', $dateTime);\n\n if (! $shouldUpdateDuration) {\n return $this;\n }\n\n return $this->updateDuration();\n }\n\n public function updateDuration(): self\n {\n if (! $this->hasActualStartTime() || ! $this->hasActualEndTime()) {\n return $this;\n }\n\n return $this->setDuration(\n (int) abs($this->getActualStartTime()->diffInRealSeconds($this->getActualEndTime()))\n );\n }\n\n public function setDuration(int $duration): self\n {\n $this->setAttribute('duration', $duration);\n\n return $this;\n }\n\n public function getRecordingState(): string\n {\n return $this->getAttribute('recording_state');\n }\n\n public function isRecordingState(string $recordingState): bool\n {\n return $this->getRecordingState() === $recordingState;\n }\n\n public function setRecordingState(string $recordingState): self\n {\n $this->setAttribute('recording_state', $recordingState);\n\n return $this;\n }\n\n public function hasActivityType(): bool\n {\n return $this->getAttribute('category') !== null;\n }\n\n public function getActivityType(): ?PlaybookCategory\n {\n return $this->getAttribute('category');\n }\n\n public function setActivityType(int $playbookCategoryId): self\n {\n $this->setAttribute('playbook_category_id', $playbookCategoryId);\n\n return $this;\n }\n\n public function hasStage(): bool\n {\n return $this->getAttribute('stage') !== null;\n }\n\n public function getStage(): ?Stage\n {\n return $this->getAttribute('stage');\n }\n\n public function getStageId(): ?int\n {\n return $this->getAttribute('stage_id');\n }\n\n public function setStageId(?int $stageId): void\n {\n $this->setAttribute('stage_id', $stageId);\n }\n\n public function hasOpportunity(): bool\n {\n return $this->getAttribute('opportunity') !== null;\n }\n\n public function getOpportunity(): ?Opportunity\n {\n return $this->getAttribute('opportunity');\n }\n\n public function getOpportunityId(): ?int\n {\n return $this->getAttribute('opportunity_id');\n }\n\n public function setOpportunityId(?int $opportunityId): void\n {\n $this->setAttribute('opportunity_id', $opportunityId);\n }\n\n public function hasContact(): bool\n {\n return $this->getAttribute('contact') !== null;\n }\n\n public function getContact(): ?Contact\n {\n return $this->getAttribute('contact');\n }\n\n public function getContactId(): ?int\n {\n return $this->getAttribute('contact_id');\n }\n\n public function setContactId(?int $contactId): void\n {\n $this->setAttribute('contact_id', $contactId);\n }\n\n public function hasLead(): bool\n {\n return $this->getAttribute('lead') !== null;\n }\n\n public function getLead(): ?Lead\n {\n return $this->getAttribute('lead');\n }\n\n public function getLeadId(): ?int\n {\n return $this->getAttribute('lead_id');\n }\n\n public function setLeadId(?int $leadId): void\n {\n $this->setAttribute('lead_id', $leadId);\n }\n\n public function hasAccount(): bool\n {\n return $this->getAttribute('account') !== null;\n }\n\n public function getAccount(): ?Account\n {\n return $this->getAttribute('account');\n }\n\n public function getAccountId(): ?int\n {\n return $this->getAttribute('account_id');\n }\n\n public function setAccountId(?int $accountId): void\n {\n $this->setAttribute('account_id', $accountId);\n }\n\n /**\n * This method exists to avoid confusion using ->participants() or ->participants. Use the getter instead.\n *\n * @return Collection<int, Participant>|Participant[]\n */\n public function getParticipants(): Collection\n {\n return $this->participants;\n }\n\n /**\n * @deprecated use ParticipantRepository::findParticipantRoomOwner() instead\n */\n public function findParticipantRoomOwner(): ?Participant\n {\n $roomOwnerId = $this->getUserId();\n\n return $this->getParticipants()\n ->filter(static fn (Participant $participant): bool => $participant->isSameUserId($roomOwnerId))\n ->first();\n }\n\n public function hasCrmProviderId(): bool\n {\n return $this->getAttribute('crm_provider_id') !== null;\n }\n\n public function getCrmProviderId(): ?string\n {\n return $this->getAttribute('crm_provider_id');\n }\n\n public function setCrmProviderId(?string $crmProviderId): void\n {\n $this->setAttribute('crm_provider_id', $crmProviderId);\n }\n\n public function getUserId(): ?int\n {\n return $this->getAttribute('user_id');\n }\n\n public function hasUser(): bool\n {\n return $this->user()->exists();\n }\n\n public function getUser(): User\n {\n return $this->getAttribute('user');\n }\n\n public function getCreatedAt(): Carbon\n {\n return $this->getAttribute('created_at');\n }\n\n public function isInFiniteState(): bool\n {\n return $this->isFiniteState($this->getStatus());\n }\n\n public function isFiniteState(string $status): bool\n {\n $finiteStates = self::FINITE_STATES[$this->getType()] ?? [];\n\n return in_array($status, $finiteStates, true);\n }\n\n public function getParticipant(Authenticatable $user): Participant\n {\n return $this->findParticipant($user);\n }\n\n public function findParticipant(Authenticatable $user): ?Participant\n {\n if ($user instanceof User) {\n /** @var User $user */\n return $this->participants()->where('user_id', '=', $user->getId())->first();\n }\n\n throw new LogicException(sprintf('Unsupported Authenticatable implementation %s', get_class($user)));\n }\n\n public function hasLanguageCode(): bool\n {\n return $this->getAttribute('language') !== null;\n }\n\n public function getLanguageCode(): ?string\n {\n /** @var string|null */\n return $this->getAttribute('language');\n }\n\n public function getLanguageCodeHyphenated(): string\n {\n return str_replace('_', '-', $this->getLanguageCode() ?? '');\n }\n\n public function getLanguageCodeLocale(): string\n {\n [ $language ] = explode('_', $this->getLanguageCode() ?? '');\n\n return $language;\n }\n\n public function setLanguageCode(string $value): self\n {\n return $this->setAttribute('language', $value);\n }\n\n public function hasSource(): bool\n {\n return $this->getAttribute('source') !== null;\n }\n\n public function setSource(?string $source): self\n {\n return $this->setAttribute('source', $source);\n }\n\n public function isSource(string $source): bool\n {\n return $this->getAttribute('source') === $source;\n }\n\n public function getSource(): ?string\n {\n return $this->getAttribute('source');\n }\n\n public function isSourceGong(): bool\n {\n return $this->isSource(self::SOURCE_GONG);\n }\n\n public function getExternalId(): ?string\n {\n return $this->getAttribute('external_id');\n }\n\n public function setExternalId(?string $externalId): self\n {\n return $this->setAttribute('external_id', $externalId);\n }\n\n public function hasExternalId(): bool\n {\n return $this->getAttribute('external_id') !== null;\n }\n\n public function getProvider(): string\n {\n return $this->getAttribute('provider');\n }\n\n public function hasTelephonyProviderId(): bool\n {\n return $this->getAttribute('telephony_provider_id') !== null;\n }\n\n public function getTelephonyProviderId(): ?string\n {\n return $this->getAttribute('telephony_provider_id');\n }\n\n public function setTelephonyProviderId(?string $telephonyProviderId): self\n {\n return $this->setAttribute('telephony_provider_id', $telephonyProviderId);\n }\n\n public function getLocation(): ?string\n {\n return $this->getAttribute('location');\n }\n\n public function setLocation(?string $location): self\n {\n return $this->setAttribute('location', $location);\n }\n\n public function isDeleted(): bool\n {\n return $this->getAttribute('deleted_at') !== null;\n }\n\n /**\n * Check if activity recording is on and activity status is not one of the failed statuses.\n */\n public function canReviewActivity(): bool\n {\n $failedStatuses = self::$enumFailedStatuses;\n\n return (! in_array($this->recording_state, [self::RECORDING_OFF, self::RECORDING_STOPPED], true) &&\n ! in_array($this->status, $failedStatuses, true));\n }\n\n public function hasReasonCodeBotKicked(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_MEETING_BOT_KICKED);\n }\n\n public function hasReasonCodeNotCompliant(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_CONSENT_DENIED);\n }\n\n public function hasTopicTriggers(): bool\n {\n return $this->topicTriggers()->count() !== 0;\n }\n\n public function getTopicTriggers(): Collection\n {\n return $this->topicTriggers;\n }\n\n public function getTopicTriggersSorted(): Collection\n {\n $this->loadMissing([\n 'topicTriggers.participant',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic',\n 'topicTriggers.playbackThemeTopicTrigger.playbackThemeTopic.playbackTheme',\n ]);\n\n return $this->topicTriggers\n ->sortBy([\n 'playbackThemeTopicTrigger.playbackThemeTopic.playbackTheme.sort',\n 'playbackThemeTopicTrigger.playbackThemeTopic.sort',\n 'playbackThemeTopicTrigger.sort',\n ]);\n }\n\n public function hasQuestions(): bool\n {\n return $this->questions()->exists();\n }\n\n public function getQuestions(): Collection\n {\n return $this->questions;\n }\n\n public function hasValue(): bool\n {\n return $this->getAttribute('value') !== null;\n }\n\n public function getValue(): ?float\n {\n return $this->getAttribute('value');\n }\n\n public function setValue(?float $value): void\n {\n $this->setAttribute('value', $value);\n }\n\n public function transitionTo(string $newState, callable $callback, ?int $timeout = null): self\n {\n $newState = $this->getWorkflowStateFor(\n $this->getType(),\n $newState\n );\n\n return $this->traitTransitionTo($newState, $callback, $timeout);\n }\n\n public function getWorkflowState(): string\n {\n return $this->getWorkflowStateFor(\n $this->getType(),\n $this->getStatus()\n );\n }\n\n public function getActivityProviderDisplayName(): string\n {\n return \\Cache::remember('activity_provider_display_name-' . $this->getProvider(), 60 * 60 * 24, function () {\n $activityProviderRegistry = app()->make(ActivityProviderRegistry::class);\n\n try {\n return $activityProviderRegistry->get($this->getProvider())->getDisplayName();\n } catch (Exception $exception) {\n return ucfirst($this->getProvider());\n }\n });\n }\n\n private function getWorkflowStateFor(string $activityChannel, string $activityStatus): string\n {\n return sprintf(\n '%s::%s',\n $activityChannel,\n $activityStatus\n );\n }\n\n public function getWorkflow(): array\n {\n $map = [\n self::TYPE_SOFTPHONE => [\n self::STATUS_SCHEDULED => [\n self::STATUS_PENDING,\n self::STATUS_IN_PROGRESS,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n ],\n self::STATUS_PENDING => [\n self::STATUS_IN_PROGRESS,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n ],\n self::STATUS_RINGING => [\n self::STATUS_CANCELLED,\n self::STATUS_FAILED,\n self::STATUS_IN_PROGRESS,\n self::STATUS_BUSY,\n ],\n self::STATUS_IN_PROGRESS => [\n self::STATUS_COMPLETED,\n ],\n ],\n self::TYPE_SOFTPHONE_INBOUND => [\n self::STATUS_RINGING => [\n self::STATUS_IN_PROGRESS,\n self::STATUS_NO_ANSWER,\n self::STATUS_CANCELLED,\n self::STATUS_FAILED,\n self::STATUS_BUSY,\n ],\n self::STATUS_IN_PROGRESS => [\n self::STATUS_COMPLETED,\n ],\n ],\n ];\n\n return collect($map)\n ->mapWithKeys(function (array $currentStates, string $activityChannel): array {\n return [\n $activityChannel => collect($currentStates)\n ->mapWithKeys(function (array $possibleStates, $currentState) use ($activityChannel): array {\n $transitionName = $this->getWorkflowStateFor($activityChannel, $currentState);\n\n return [\n $transitionName => array_map(function (string $newState) use ($activityChannel) {\n return $this->getWorkflowStateFor($activityChannel, $newState);\n }, $possibleStates),\n ];\n }),\n ];\n })\n ->reduce(static function (array $carry, Collection $item): array {\n return array_merge($carry, $item->all());\n }, []);\n }\n\n public function hasPosterPath(): bool\n {\n return $this->getAttribute('poster_path') !== null;\n }\n\n public function getPosterPath(): ?string\n {\n return $this->getAttribute('poster_path');\n }\n\n /**\n * Take into account all recording settings and determine if we need to record this activity or not.\n */\n public function shouldRecord(): bool\n {\n return $this->determineRecordingReasonCode() === null;\n }\n\n public function determineRecordingReasonCode(): ?int\n {\n // Conference specific decisions.\n if ($this->isTypeConference()) {\n // If they have manually overridden the recording setting to not record.\n if ($this->hasRecordingPreference() && $this->getRecordingPreference() === false) {\n return self::FLAG_RECORDING_REASON_PREFERENCE_OVERRIDE;\n }\n\n // If they have manually overridden the recording setting to record.\n if ($this->hasRecordingPreference() && $this->getRecordingPreference() === true) {\n return null;\n }\n\n // If their team has disabled recording meetings, don't record.\n if ($this->user->team->isConferenceRecordPreferenceDisabled()) {\n return self::FLAG_RECORDING_REASON_TEAM_AUTOMATIC_DISABLED;\n }\n\n // If the host has disabled recording meetings, don't record.\n if ($this->user->checkConferenceRecordPreference() === false) {\n return self::FLAG_RECORDING_REASON_USER_AUTOMATIC_DISABLED;\n }\n\n // If it was marked internal...\n if ($this->is_internal) {\n // and their team has disabled recording internal meetings, don't record.\n if (\n $this->user->team->isConferenceRecordPreferenceEnabled()\n && ! $this->user->team->isConferenceRecordInternalPreferenceEnabled()\n ) {\n return self::FLAG_RECORDING_REASON_TEAM_INTERNAL_DISABLED;\n }\n\n // and the host has disabled recording internal meetings, don't record.\n if ($this->user->checkConferenceRecordInternalPreference() === false) {\n return self::FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED;\n }\n }\n\n // If it was not scheduled and they disabled internal meetings, we cannot determine if it was internal.\n if ($this->wasScheduled() === false && $this->user->checkConferenceRecordInternalPreference() === false) {\n return self::FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED_UNSCHEDULED;\n }\n }\n\n return null;\n }\n\n public function getRecordingReasonCode(): int\n {\n return $this->getAttribute('recording_reason_code');\n }\n\n public function setRecordingReasonCode(int $recordingReasonCode): self\n {\n $this->setAttribute('recording_reason_code', $recordingReasonCode);\n\n return $this;\n }\n\n // Not used today.\n public function getRecordingReasonString(): ?string\n {\n if ($this->hasRecordingReasonCompliancePrompted()) {\n return Team::COMPLIANCE_MODE_RECORDING_PROMPT;\n }\n\n if ($this->hasRecordingReasonComplianceRestricted()) {\n return Team::COMPLIANCE_MODE_RECORDING_RESTRICT;\n }\n\n if ($this->hasRecordingReasonComplianceRestrictedToOneSideRecording()) {\n return Team::COMPLIANCE_MODE_RECORDING_RESTRICT_ONE_SIDE;\n }\n\n return null;\n }\n\n public function hasRecordingReasonComplianceRestricted(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT);\n }\n\n public function hasRecordingReasonCompliancePrompted(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_COMPLIANCE_PROMPT);\n }\n\n public function hasRecordingReasonComplianceRestrictedToOneSideRecording(): bool\n {\n return $this->getFlag('recording_reason_code', self::FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT_ONE_SIDE);\n }\n\n public function getAudioTrack(): ?Track\n {\n /** @var Track|null */\n return $this->tracks()\n ->where('type', '=', Track::TYPE_AUDIO)\n ->first();\n }\n\n public function activeParticipants(): HasMany\n {\n return $this->hasMany(Participant::class)->active();\n }\n\n public function getActiveParticipants(): Eloquent\\Collection\n {\n return $this->getAttribute('activeParticipants');\n }\n\n public function crm(): Eloquent\\Relations\\BelongsTo\n {\n return $this->belongsTo(Configuration::class, 'crm_configuration_id');\n }\n\n public function activitySummaryLogs(): HasMany\n {\n return $this->hasMany(ActivitySummaryLog::class);\n }\n\n public function getCrm(): ?Configuration\n {\n return $this->getAttribute('crm');\n }\n\n public function hasCrmConfiguration(): bool\n {\n return $this->getAttribute('crm') !== null;\n }\n\n public function isProcessed(): ?bool\n {\n return $this->getAttribute('is_processed');\n }\n\n public function hasRecordingPrompt(): bool\n {\n return $this->getAttribute('has_recording_prompt') === true;\n }\n\n public function isOnAir(): bool\n {\n return $this->getAttribute('on_air') === self::ON_AIR_READY || $this->getAttribute('on_air') === self::ON_AIR_STREAMING;\n }\n\n public function setOnAir(int $onAir): self\n {\n $this->setAttribute('on_air', $onAir);\n\n return $this;\n }\n\n public function getOnAir(): ?int\n {\n return $this->getAttribute('on_air');\n }\n\n public function setTitleFromCallData(Call $call): void\n {\n $direction = $call->isOutbound() ? 'to' : 'from';\n\n $party = $this->prospect_name\n ?? $call->getContactName()\n ?? $call->getOtherPartyPhoneNumber()\n ;\n\n $this->update(['title' => sprintf('Call %s %s', $direction, $party)]);\n }\n\n /**\n * @param array{}|array{channels:string|null, format:string|null, type:string|null, status:string|null} $audioParams\n */\n public function createAudioTrack(\n string $telephonyProviderId,\n string $recordingUrl,\n array $audioParams = []\n ): Track {\n return $this->tracks()->updateOrCreate([\n 'telephony_provider_id' => $telephonyProviderId,\n ], [\n 'type' => $audioParams['type'] ?? Track::TYPE_AUDIO,\n 'status' => $audioParams['status'] ?? Track::STATUS_PENDING,\n 'format' => $audioParams['format'] ?? Track::FORMAT_WAV,\n 'provider_content_url' => $recordingUrl,\n 'start_time' => $this->actual_start_time,\n 'end_time' => $this->actual_end_time,\n ]);\n }\n\n public function createTrack(string $telephonyProviderId, array $params): Track\n {\n return $this->tracks()->updateOrCreate(\n [\n 'telephony_provider_id' => $telephonyProviderId,\n ],\n $params\n );\n }\n\n public function createOrganiserParticipant(Call $call): Participant\n {\n $user = $this->getUser();\n\n return $this->updateOrCreateParticipant([\n 'is_ghost' => 0,\n 'name' => $user->name,\n 'email' => $user->email,\n 'phone_number' => phone_e164(null, $call->getUserPhoneNumber()),\n 'enter_time' => $this->actual_start_time,\n 'exit_time' => $this->actual_end_time,\n 'user_id' => $user->id,\n ], false);\n }\n\n public function createProspectParticipant(Call $call): Participant\n {\n // not null 'name' is mandatory here to create a separate participant with 'nameMatching'\n // in case of the same phone_number with the Organiser\n $useNameMatching = $call->getUserPhoneNumber() === $call->getOtherPartyPhoneNumber();\n $defaultName = $useNameMatching ? '' : null;\n\n return $this->updateOrCreateParticipant(data: [\n 'is_ghost' => 0,\n 'name' => $this->prospect->name ?? $defaultName,\n 'email' => $this->prospect->email ?? null,\n 'phone_number' => phone_e164(null, $call->getOtherPartyPhoneNumber()),\n 'enter_time' => $this->actual_start_time,\n 'exit_time' => $this->actual_end_time,\n 'contact_id' => $this->contact_id ?? null,\n 'lead_id' => $this->lead_id ?? null,\n ], enterRoom: false, nameMatching: $useNameMatching);\n }\n\n public function updateParticipants(Participant $organiserParticipant, Participant $prospectParticipant): void\n {\n $this->update([\n 'from_participant_id' => $this->isTypeSoftPhone() ? $organiserParticipant->id : $prospectParticipant->id,\n 'to_participant_id' => $this->isTypeSoftPhone() ? $prospectParticipant->id : $organiserParticipant->id,\n ]);\n }\n\n public function hasProspect(): bool\n {\n return $this->getProspectAttribute() !== null;\n }\n\n public function isPrivate(): bool\n {\n return $this->getAttribute('is_private');\n }\n\n /** Create a new factory instance for the model. */\n protected static function newFactory(): Factory\n {\n return ActivityFactory::new();\n }\n\n public function getUpdatedAt(): Carbon\n {\n return $this->getAttribute('updated_at');\n }\n\n public function getActivitySummaryLogs(): Eloquent\\Collection\n {\n return $this->getAttribute('activitySummaryLogs');\n }\n\n public function hasProspectActivitySummaryLog(): bool\n {\n return $this->getActivitySummaryLogs()->contains(\n 'relation_type',\n ActivitySummaryLog::RELATION_OBJECT_TYPE_PROSPECT\n );\n }\n\n public function getTeam(): Team\n {\n return $this->getUser()->getTeam();\n }\n\n private function getUpdateCrmDataResolver(): UpdateCrmDataResolverInterface\n {\n $factory = app(UpdateCrmDataResolverFactory::class);\n\n return $factory->create($this);\n }\n\n public function getMeetingTrackProviderId(string $type): string\n {\n $label = match ($type) {\n Track::TYPE_VIDEO => 'v',\n Track::TYPE_AUDIO => 'a',\n default => throw new InvalidArgumentJiminnyException('Invalid track type'),\n };\n\n $startTimestamp = $this->getScheduledStartTime()?->getTimestamp();\n $teamId = $this->getTeam()->getId();\n\n return $this->getTelephonyProviderId() . ':' . $label . ':' . $startTimestamp . ':' . $teamId;\n }\n\n /**\n * Get all consent records associated with this activity\n *\n * @return \\Illuminate\\Database\\Eloquent\\Relations\\HasMany\n */\n public function participantConsents(): HasMany\n {\n return $this->hasMany(Participant\\Consent::class);\n }\n\n public function isDiallerCall(): bool\n {\n if ($this->getProvider() === Activity::PROVIDER_UPLOADER) {\n return false;\n }\n\n if (! in_array($this->getType(), [self::TYPE_SOFTPHONE, self::TYPE_SOFTPHONE_INBOUND])) {\n return false;\n }\n\n return $this->getProvider() !== self::PROVIDER_TWILIO;\n }\n\n public function getActivityDateWithFallback(): Carbon\n {\n if ($this->getActualStartTime() !== null) {\n return $this->getActualStartTime();\n }\n\n if ($this->getScheduledStartTime() !== null) {\n return $this->getScheduledStartTime();\n }\n\n return $this->getCreatedAt();\n }\n\n public function getCrmType(): ?string\n {\n // Treat uploader activities as conferences\n if ($this->getProvider() === Activity::PROVIDER_UPLOADER) {\n return Activity::TYPE_CONFERENCE;\n }\n\n return $this->getType();\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directory…","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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AskJiminnyReportActivityServiceTest
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<?php
namespace Jiminny\Console\Commands\Activities;
use Illuminate\Console\Command;
use Illuminate\Contracts\Events\Dispatcher;
use Jiminny\Contracts\ES\Events\UpdateSingleEntity;
use Jiminny\Contracts\ES\UpdateTargetEnum;
use Jiminny\Models\Activity;
class UpdateActivityElasticSearchDocumentCommand extends Command
{
protected $signature = 'activity:update:es {activityId}';
protected $description = 'Update ES document synchronously';
public function __construct(private readonly Dispatcher $eventDispatcher)
{
parent::__construct();
}
public function handle(): void
{
$activityId = $this->argument('activityId');
$this->info("Searching for activity with: {$activityId}");
if (is_numeric($activityId)) {
$activity = Activity::find((int) $activityId);
} else {
$activity = Activity::where('uuid', \Jiminny\Traits\RequiresUUID::toOptimized($activityId))->first();
}
if (! $activity) {
$this->error("Activity with ID/UUID {$activityId} not found");
return;
}
$this->info("Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}");
$this->info('Sending activity for ES update...');
try {
$this->eventDispatcher->dispatch(
new UpdateSingleEntity(
entityId: $activity->getId(),
updateTarget: UpdateTargetEnum::ACTIVITY,
purpose: 'cli-command-activity-update-es',
isSyncEvent: true,
)
);
$this->info('Done.');
} catch (\Exception $e) {
$this->error('Failed to update ES: ' . $e->getMessage());
$this->error($e->getTraceAsString());
}
}
}
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<?php
namespace Jiminny\Models;
use Carbon\Carbon;
use Database\Factories\ActivityFactory;
use DateTimeInterface;
use Exception;
use Illuminate\Contracts\Auth\Authenticatable;
use Illuminate\Database\Eloquent;
use Illuminate\Database\Eloquent\Attributes\Scope;
use Illuminate\Database\Eloquent\Builder;
use Illuminate\Database\Eloquent\Factories\Factory;
use Illuminate\Database\Eloquent\Factories\HasFactory;
use Illuminate\Database\Eloquent\Relations\BelongsTo;
use Illuminate\Database\Eloquent\Relations\BelongsToMany;
use Illuminate\Database\Eloquent\Relations\HasMany;
use Illuminate\Database\Eloquent\Relations\HasManyThrough;
use Illuminate\Database\Eloquent\Relations\HasOne;
use Illuminate\Database\Eloquent\SoftDeletes;
use Illuminate\Support\Collection;
use Illuminate\Support\Facades\Auth;
use InvalidArgumentException;
use Jiminny\Component\ElasticSearch;
use Jiminny\Component\MeetingBot;
use Jiminny\Component\Model\BitwiseFlagTrait;
use Jiminny\Component\PlaybackPage\Comments\Services\ActivityCommentService;
use Jiminny\Component\Sidekick\SidekickService;
use Jiminny\Component\Uuid\UuidAwareInterface;
use Jiminny\Component\Workflow;
use Jiminny\Contracts;
use Jiminny\Contracts\Crm\ProspectInterface;
use Jiminny\DTO\ImportCall\Call;
use Jiminny\Events\Activities\ActivityTypeUpdated;
use Jiminny\Events\Activities\ActivityUpdated;
use Jiminny\Events\Activities\ProspectUpdated;
use Jiminny\Events\Activities\StageUpdated;
use Jiminny\Events\Activities\StatusUpdated;
use Jiminny\Events\Activities\TitleUpdated;
use Jiminny\Exceptions\InvalidArgumentException as InvalidArgumentJiminnyException;
use Jiminny\Exceptions\LogicException;
use Jiminny\Exceptions\RuntimeException;
use Jiminny\Models;
use Jiminny\Models\Activity\ActivitySummaryLog;
use Jiminny\Models\Activity\ActivityUploadSetting;
use Jiminny\Models\Activity\AvailabilityNotification;
use Jiminny\Models\Activity\CoachRequest;
use Jiminny\Models\Activity\Comment;
use Jiminny\Models\Activity\Log;
use Jiminny\Models\Activity\Message;
use Jiminny\Models\Activity\Moment;
use Jiminny\Models\Activity\Note;
use Jiminny\Models\Activity\ParticipantSpeech;
use Jiminny\Models\Activity\Play;
use Jiminny\Models\Activity\Question;
use Jiminny\Models\Activity\Share;
use Jiminny\Models\Activity\Snapshot;
use Jiminny\Models\Activity\Stats;
use Jiminny\Models\Activity\SubscriptionSet;
use Jiminny\Models\Activity\TopicTrigger;
use Jiminny\Models\Activity\Transcription;
use Jiminny\Models\Calendar\CalendarEvent;
use Jiminny\Models\Crm\Configuration;
use Jiminny\Models\Crm\FieldData;
use Jiminny\Models\ElasticSearch\ActivityElasticSearchTrait;
use Jiminny\Models\Feature\FeatureEnum;
use Jiminny\Models\Participant\Connection;
use Jiminny\Models\Playlist\Activity as PlaylistActivity;
use Jiminny\Services\Activity\ActivityProviderRegistry;
use Jiminny\Services\Activity\Import\DataResolvers\UpdateCrmDataByStrategy;
use Jiminny\Services\Activity\Import\DataResolvers\UpdateCrmDataResolverFactory;
use Jiminny\Services\Activity\Import\DataResolvers\UpdateCrmDataResolverInterface;
use Jiminny\Traits\Enums;
use Jiminny\Traits\RequiresUUID;
use Jiminny\Utils\CurrencyFormatter;
use NumberFormatter;
use function in_array;
/**
* Jiminny\Models\Activity
*
* @property null|int $auto_score filled from ES hydrator, not in DB!
* @property-read Account|null $account
* @property-read CalendarEvent|null $calendarEvent
* @property-read Contact|null $contact
* @property-read Lead|null $lead
* @property-read Opportunity|null $opportunity
* @property-read Stage|null $stage
* @property int $id
* @property mixed|null $uuid
* @property string|null $source
* @property string|null $external_id
* @property string $provider
* @property string|null $location
* @property string|null $telephony_provider_id
* @property int|null $from_participant_id
* @property int|null $to_participant_id
* @property int|null $device_id
* @property string|null $type
* @property int|null $playbook_category_id
* @property int $user_id
* @property int|null $lead_id
* @property int|null $account_id
* @property int|null $contact_id
* @property int|null $opportunity_id
* @property int|null $stage_id
* @property string|null $value
* @property int|null $crm_configuration_id
* @property string|null $crm_provider_id
* @property string|null $language
* @property int|null $transcription_id
* @property int $duration
* @property string $status
* @property int|null $on_air
* @property int|null $calendar_event_id
* @property string $recording_state
* @property bool|null $recording_preference
* @property int $recording_reason_code
* @property int $summary_reminder_sent
* @property \Illuminate\Support\Carbon|null $log_reminder_sent_at
* @property \Illuminate\Support\Carbon|null $organizer_notified_at
* @property bool|null $has_recording_prompt
* @property bool $is_internal
* @property int $is_locked
* @property int $is_recording
* @property bool|null $is_processed
* @property bool $is_private
* @property bool $is_instant_invite
* @property string|null $poster_path
* @property string|null $summary
* @property string|null $title
* @property string|null $description
* @property \Illuminate\Support\Carbon|null $scheduled_start_time
* @property \Illuminate\Support\Carbon|null $scheduled_end_time
* @property \Illuminate\Support\Carbon|null $actual_start_time
* @property \Illuminate\Support\Carbon|null $actual_end_time
* @property int|null $uploaded_by
* @property \Illuminate\Support\Carbon|null $deleted_at
* @property \Illuminate\Support\Carbon|null $created_at
* @property \Illuminate\Support\Carbon|null $updated_at
* @property string|null $average_score
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant> $activeParticipants
* @property-read int|null $active_participants_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Scorecard\ActivityScorecardRuleTrigger> $activityScorecardRuleTriggers
* @property-read int|null $activity_scorecard_rule_triggers_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Scorecard\ActivityScorecardRule> $activityScorecardRules
* @property-read int|null $activity_scorecard_rules_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, AvailabilityNotification> $availabilityNotifications
* @property-read int|null $availability_notifications_count
* @property-read \Jiminny\Models\PlaybookCategory|null $category
* @property-read \Illuminate\Database\Eloquent\Collection<int, CoachRequest> $coachRequests
* @property-read int|null $coach_requests_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\CoachingFeedback> $coachingFeedbacks
* @property-read int|null $coaching_feedbacks_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Message> $coachingMessages
* @property-read int|null $coaching_messages_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Comment> $comments
* @property-read int|null $comments_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Connection> $connections
* @property-read int|null $connections_count
* @property-read Configuration|null $crm
* @property-read \Illuminate\Database\Eloquent\Collection<int, FieldData> $data
* @property-read int|null $data_count
* @property-read \Jiminny\Models\Device|null $device
* @property-read \Kalnoy\Nestedset\Collection<int, \Jiminny\Models\Playlist> $favoritePlaylists
* @property-read int|null $favorite_playlists_count
* @property-read \Jiminny\Models\Participant|null $from
* @property-read string|null $activity_title
* @property-read mixed $comment_count
* @property-read mixed $duration_for_humans
* @property-read string $duration_for_humans_short
* @property-read int $favorite_count
* @property-read mixed $favorites_count
* @property-read mixed $formatted_value
* @property-read string $id_string
* @property-read \Jiminny\Models\Participant|null $organizer
* @property-read mixed $play_count
* @property-read int|null $plays_count
* @property-read ?ProspectInterface $prospect
* @property-read string|null $prospect_name
* @property-read mixed $prospect_type
* @property-read mixed $share_count
* @property-read int|null $shares_count
* @property-read int|null $tracks_with_telephony_count
* @property-read int|null $visible_comments_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\CoachingFeedback> $latestCoachingFeedbacks
* @property-read int|null $latest_coaching_feedbacks_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Log> $logs
* @property-read int|null $logs_count
* @property-read \Jiminny\Models\Track|null $masterTrack
* @property-read \Illuminate\Database\Eloquent\Collection<int, Message> $messages
* @property-read int|null $messages_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Moment> $moments
* @property-read int|null $moments_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Note> $notes
* @property-read int|null $notes_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant\Share> $participantShares
* @property-read int|null $participant_shares_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, ParticipantSpeech> $participantSpeeches
* @property-read int|null $participant_speeches_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant\ParticipantStats> $participantStats
* @property-read int|null $participant_stats_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Participant> $participants
* @property-read int|null $participants_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, PlaylistActivity> $playlistActivities
* @property-read int|null $playlist_activities_count
* @property-read \Kalnoy\Nestedset\Collection<int, \Jiminny\Models\Playlist> $playlists
* @property-read int|null $playlists_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Play> $plays
* @property-read \Illuminate\Database\Eloquent\Collection<int, Question> $questions
* @property-read int|null $questions_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Session> $sessions
* @property-read int|null $sessions_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, Share> $shares
* @property-read \Illuminate\Database\Eloquent\Collection<int, Snapshot> $snapshots
* @property-read int|null $snapshots_count
* @property-read Stats|null $stats
* @property-read \Jiminny\Models\Participant|null $to
* @property-read \Illuminate\Database\Eloquent\Collection<int, TopicTrigger> $topicTriggers
* @property-read int|null $topic_triggers_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Track> $tracks
* @property-read int|null $tracks_count
* @property-read \Illuminate\Database\Eloquent\Collection<int, \Jiminny\Models\Track> $tracksWithTelephony
* @property-read Transcription|null $transcription
* @property-read \Jiminny\Models\User $user
* @property-read \Illuminate\Database\Eloquent\Collection<int, Comment> $visibleComments
*
* @method static \Illuminate\Database\Eloquent\Collection<int, static> all($columns = ['*'])
* @method static \Jiminny\Component\Eloquent\Builder|Activity chunkByIdDesc($count, callable $callback, $column = null, $alias = null)
* @method static \Database\Factories\ActivityFactory factory(...$parameters)
* @method static \Illuminate\Database\Eloquent\Collection<int, static> get($columns = ['*'])
* @method static \Jiminny\Component\Eloquent\Builder|Activity heldBetween(\Carbon\Carbon $start, \Carbon\Carbon $end)
* @method static \Jiminny\Component\Eloquent\Builder|Activity idOrUuId($idOrUuid, bool $first = true)
* @method static \Jiminny\Component\Eloquent\Builder|Activity newModelQuery()
* @method static \Jiminny\Component\Eloquent\Builder|Activity newQuery()
* @method static Builder|Activity onlyTrashed()
* @method static \Jiminny\Component\Eloquent\Builder|Activity query()
* @method static \Jiminny\Component\Eloquent\Builder|Activity scheduledBetween(\Carbon\Carbon $start, \Carbon\Carbon $end)
* @method static \Jiminny\Component\Eloquent\Builder|Activity inOpenDeals()
* @method static \Jiminny\Component\Eloquent\Builder|Activity notInOpenDeals()
* @method static \Jiminny\Component\Eloquent\Builder|Activity forTeam(int $teamId)
* @method static \Jiminny\Component\Eloquent\Builder|Activity search(callable $searchQuery, $key = null, $sortByResults = true)
* @method static \Jiminny\Component\Eloquent\Builder|Activity uuid(string $uuid, bool $first = true)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereAccountId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereActualEndTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereActualStartTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereAverageScore($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCalendarEventId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereContactId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCreatedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCrmConfigurationId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereCrmProviderId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDeletedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDescription($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDeviceId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereDuration($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereFromParticipantId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereHasRecordingPrompt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsInstantInvite($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsInternal($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsLocked($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsPrivate($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsProcessed($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereIsRecording($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLanguage($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLeadId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLocation($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereLogReminderSentAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereOnAir($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereOpportunityId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereOrganizerNotifiedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity wherePlaybookCategoryId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity wherePosterPath($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereProvider($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereRecordingPreference($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereRecordingReasonCode($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereRecordingState($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereScheduledEndTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereScheduledStartTime($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereSource($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereExternalId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereStageId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereStatus($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereSummary($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereSummaryReminderSent($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereTelephonyProviderId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereTitle($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereToParticipantId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereTranscriptionId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereType($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUpdatedAt($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUploadedBy($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUserId($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereUuid($value)
* @method static \Jiminny\Component\Eloquent\Builder|Activity whereValue($value)
* @method static Builder|Activity withTrashed()
* @method static Builder|Activity withoutTrashed()
*
* @mixin \Eloquent
*/
class Activity extends Model implements
ElasticSearch\Contract\Searchable,
Workflow\Workflow\WorkflowAwareInterface,
Models\Contracts\ActivityContract,
Contracts\Model\ActivityInterface,
UuidAwareInterface
{
use HasFactory;
use Enums;
use SoftDeletes;
use RequiresUUID;
use BitwiseFlagTrait;
use ElasticSearch\Model\Searchable;
use ActivityElasticSearchTrait;
use Workflow\Workflow\WorkflowAware {
transitionTo as traitTransitionTo;
}
public const int FLAG_RECORDING_REASON_DEFAULT = 0;
// Recording Prompted but never started
public const int FLAG_RECORDING_REASON_COMPLIANCE_PROMPT = 1;
public const int FLAG_RECORDING_REASON_COMPLIANCE_RESUMED = 2;
public const int FLAG_RECORDING_REASON_NO_AUDIO = 3;
// Recording Disabled by Organization
public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT = 4;
// Recording was restricted to one-side recordings only
public const int FLAG_RECORDING_REASON_COMPLIANCE_RESTRICT_ONE_SIDE = 8;
// Recording was not started because it was internal and team setting disabled that.
public const int FLAG_RECORDING_REASON_TEAM_INTERNAL_DISABLED = 16;
// Recording was not started because it was internal and user setting disabled that.
public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED = 32;
// Recording was not started because user setting disabled automatic recording.
public const int FLAG_RECORDING_REASON_USER_AUTOMATIC_DISABLED = 64;
// Recording was not started because team setting disabled automatic recording.
public const int FLAG_RECORDING_REASON_TEAM_AUTOMATIC_DISABLED = 128;
// Recording was not started because user has overriden default.
public const int FLAG_RECORDING_REASON_PREFERENCE_OVERRIDE = 256;
// Recording was not started because they don't want internal, and this meeting was not scheduled/imported in time.
public const int FLAG_RECORDING_REASON_USER_INTERNAL_DISABLED_UNSCHEDULED = 512;
// Recording was not started because their team setting does excludes the meeting type.
public const int FLAG_RECORDING_REASON_UNSUPPORTED_TYPE = 1024;
// Recording was not started because the external provider disabled it (or recording is missing etc).
public const int FLAG_RECORDING_REASON_EXTERNALLY_DISABLED = 2048;
// Recording was stopped externally ("exit-meeting" Pusher event)
public const int FLAG_RECORDING_REASON_STOPPED_EXTERNALLY = 384;
// Recording couldn't be started due to Zoom hosting conflict error
public const int FLAG_RECORDING_REASON_HOSTING_CONFLICT = 448;
// meeting.failed event with reason code BOT_DENIED_FROM_LOBBY
public const int FLAG_RECORDING_REASON_MEETING_BOT_DENIED_FROM_LOBBY = 4096;
// meeting.failed event with reason code LOBBY_TIMEOUT
public const int FLAG_RECORDING_REASON_MEETING_BOT_LOBBY_TIMEOUT = 8192;
// meeting.failed event with reason code BOT_KICKED
public const int FLAG_RECORDING_REASON_MEETING_BOT_KICKED = 16384;
// meeting.failed event with reason code UNKNOWN
public const int FLAG_RECORDING_REASON_MEETING_BOT_UNKNOWN = 32768;
public const int FLAG_RECORDING_REASON_CONSENT_DENIED = 65536;
// Invalid meeting (e.g. URL is invalid, or the meeting is not found)
public const int FLAG_RECORDING_REASON_MEETING_BOT_INVALID = 131072;
// The host stopped the recording.
public const int FLAG_RECORDING_REASON_USER_STOPPED = 262144;
// Recording was not started because an alternative vendor disabled it (or overrode it).
public const int FLAG_RECORDING_REASON_VENDOR_OVERRIDE = 1048576;
// Login required meeting.failed code
public const int FLAG_RECORDING_REASON_LOGIN_REQUIRED = 524288;
// Password for meeting was not provided - meeting.failed code
public const int FLAG_RECORDING_REASON_MEETING_PASSWORD_NOT_PROVIDED = 2097152;
// meeting.failed - when the meeting is locked
public const int FLAG_RECORDING_REASON_MEETING_IS_LOCKED = 4194304;
// max recording duration reached
public const int FLAG_RECORDING_REASON_MAX_DURATION_REACHED = 8388608;
// recording size is too small
public const int FLAG_RECORDING_REASON_EMPTY_RECORDING = 16777216;
// meeting.failed - when bot is redirected to sign in page multiple times
public const int FLAG_RECORDING_REASON_MAX_RESTART_COUNT_IS_REACHED = 33554432;
// meeting.failed event with reason code CONNECTION_LOST
public const int FLAG_RECORDING_REASON_MEETING_BOT_CONNECTION_LOST = 67108864;
// recording is corrupted.
public const int FLAG_RECORDING_REASON_MEDIA_FILE_UNSUPPORTED_MIME_TYPE = 134217728;
// meeting ended in lobby
public const int FLAG_RECORDING_REASON_MEETING_ENDED_IN_LOBBY = 268435456;
// meeting not started
public const int FLAG_RECORDING_REASON_REASON_MEETING_NOT_STARTED = 536870912;
// unfinished zoom custom disclaimer
public const int FLAG_RECORDING_REASON_FEATURE_RULE_NOT_FOUND_ERROR = 1073741824;
// recording download failed - server error
public const int FLAG_RECORDING_REASON_SERVER_ERROR = 2147483648;
// recording download failed - client code 404
public const int FLAG_RECORDING_REASON_NOT_FOUND = 2147483649;
// recording download failed - client code 401, 403
public const int FLAG_RECORDING_REASON_ACCESS_DENIED = 2147483650;
// recording download failed - client code 429
public const int FLAG_RECORDING_REASON_TOO_MANY_REQUESTS = 2147483651;
// recording download failed - unknown client error
public const int FLAG_RECORDING_REASON_CLIENT_ERROR = 2147483652;
// recording download failed - unknown error
public const int FLAG_RECORDING_REASON_UNKNOWN_ERROR = 2147483653;
// It has been setup ahead of time through calendar
public const string STATUS_SCHEDULED = 'scheduled';
// It is awaiting audio.
public const string STATUS_PENDING = 'pending';
// Participant(s) dialed in, awaiting organizer.
public const string STATUS_RINGING = 'ringing';
// Call is in progress.
public const string STATUS_IN_PROGRESS = 'in-progress';
// It has ended.
public const string STATUS_COMPLETED = 'completed';
// Cancelled prior to starting.
public const string STATUS_CANCELLED = 'canceled';
public const string STATUS_DUPLICATED = 'duplicated'; // duplicated conference
public const string STATUS_STARTING_SOON = 'starting-soon';
public const string STATUS_BOT_CREATE_SENT = 'bot-create-sent';
public const string STATUS_BOT_INSTANCE_WORKER_ASSIGNED = 'worker-assigned';
public const string STATUS_BOT_INSTANCE_STARTED = 'bot-started';
// When bot instance is waiting in lobby
public const string STATUS_BOT_INSTANCE_WAITING_LOBBY = 'bot-waiting';
public const string STATUS_BUSY = 'busy';
public const string STATUS_NO_ANSWER = 'no-answer';
public const string STATUS_FAILED = 'failed'; // Used by SMS too
// SMS related
public const string STATUS_ACCEPTED = 'accepted';
public const string STATUS_QUEUED = 'queued';
public const string STATUS_SENDING = 'sending';
public const string STATUS_SENT = 'sent';
public const string STATUS_DELIVERED = 'delivered';
public const string STATUS_UNDELIVERED = 'undelivered';
public const string STATUS_RECEIVING = 'receiving';
public const string STATUS_RECEIVED = 'received';
public const string STATUS_RESENT = 'resent';
public const array SMS_STATUSES = [
Activity::STATUS_RECEIVED,
Activity::STATUS_SENT,
Activity::STATUS_DELIVERED,
];
public const array SOFT_PHONE_CONFERENCE_STATUSES = [
Activity::STATUS_IN_PROGRESS,
Activity::STATUS_COMPLETED,
];
// @todo refactor prefix from `TYPE_` to `CHANNEL_`
public const string TYPE_SOFTPHONE = 'softphone';
public const string TYPE_SOFTPHONE_INBOUND = 'softphone-inbound';
public const string TYPE_CONFERENCE = 'conference';
public const string TYPE_SMS_INBOUND = 'sms-inbound';
public const string TYPE_SMS_OUTBOUND = 'sms-outbound';
public const string TYPE_EMAIL_INBOUND = 'email-inbound';
public const string TYPE_EMAIL_OUTBOUND = 'email-outbound';
public const array CHANNELS = [
self::TYPE_SOFTPHONE,
self::TYPE_SOFTPHONE_INBOUND,
self::TYPE_CONFERENCE,
self::TYPE_SMS_INBOUND,
self::TYPE_SMS_OUTBOUND,
self::TYPE_EMAIL_INBOUND,
self::TYPE_EMAIL_OUTBOUND,
];
public const array PLAYABLE_CHANNELS = [
self::TYPE_SOFTPHONE,
self::TYPE_SOFTPHONE_INBOUND,
self::TYPE_CONFERENCE,
];
// Recording States
public const string RECORDING_OFF = 'off'; // Default state
public const string RECORDING_IN_PROGRESS = 'in-progress';
public const string RECORDING_PAUSED = 'paused';
public const string RECORDING_STOPPED = 'stopped'; // To never be resumed.
public const string RECORDING_RECORDED = 'recorded'; // At least some portion of it was recorded.
public const string RECORDING_FAILED = 'failed'; // Recording was attempted but failed for some reason.
// Live Stream States
public const int ON_AIR_DEFAULT = 0;
public const int ON_AIR_READY = 1;
public const int ON_AIR_PREPARING = 2;
public const int ON_AIR_STREAMING = 3;
public const int ON_AIR_FINISHED = 4;
public const int ON_AIR_NOT_STREAMED = 5;
public const int ON_AIR_ERROR = -1;
public const string SOURCE_GONG = 'gong';
public const string SOURCE_CHORUS = 'chorus';
public const string SOURCE_OUTLOOK = 'outlook';
public const string SOURCE_GOOGLE = 'google';
// Activity Providers
public const string PROVIDER_TWILIO = 'twilio'; // XXX: This is run via the Jiminny Provider.
public const string PROVIDER_OUTREACH = 'outreach';
public const string PROVIDER_ZOOM_BOT = 'zoom-bot';
public const string PROVIDER_SALESLOFT = 'salesloft';
public const string PROVIDER_GOOGLE = 'google';
public const string PROVIDER_AIRCALL = 'aircall';
public const string PROVIDER_JUSTCALL = 'justcall';
public const string PROVIDER_GOOGLE_MEET = 'google-meet';
public const string PROVIDER_GONG = 'gong';
public const string PROVIDER_HUBSPOT = 'hubspot';
public const string PROVIDER_CLOSE = 'close';
public const string PROVIDER_TEAMS = 'ms-teams';
public const string PROVIDER_SALESFORCE = 'salesforce';
public const string PROVIDER_GROOVE = 'groove';
public const string PROVIDER_XANT = 'xant';
public const string PROVIDER_OFFICE = 'office';
public const string PROVIDER_NATTERBOX = 'natterbox';
public const string PROVIDER_RINGCENTRAL = 'ringcentral';
public const string PROVIDER_RINGCENTRAL_VIDEO = 'ringcentral-video';
public const string PROVIDER_GOTOMEETING = 'go-to-meeting';
public const string PROVIDER_DEMODESK = 'demo-desk';
public const string PROVIDER_DIALPAD = 'dialpad';
public const string PROVIDER_ZOOM_PHONE = 'zoom-phone';
public const string PROVIDER_CLOUDCALL = 'cloudcall';
public const string PROVIDER_CLOUDCALL_US = 'cloudcall-us';
public const string PROVIDER_EIGHT_BY_EIGHT = 'eight-by-eight'; // "8x8" UK
public const string PROVIDER_EIGHT_BY_EIGHT_CA = 'eight-by-eight-ca'; // "8x8" Canada
public const string PROVIDER_EIGHT_BY_EIGHT_AP = 'eight-by-eight-ap'; // "8x8" Australia
public const string PROVIDER_EIGHT_BY_EIGHT_US_EAST = 'eight-by-eight-use'; // "8x8" US East
public const string PROVIDER_EIGHT_BY_EIGHT_US_WEST = 'eight-by-eight-usw'; // "8x8" US West
public const string PROVIDER_CONNECT_AND_SELL = 'connect-and-sell';
public const string PROVIDER_CLOUD_TALK = 'cloud-talk';
public const string PROVIDER_AMAZON_CONNECT = 'amazon-connect';
public const string PROVIDER_VONAGE = 'vonage';
public const string PROVIDER_MIGRATOR = 'migrator';
public const string PROVIDER_UPLOADER = 'uploader';
public const string PROVIDER_TALKDESK = 'talkdesk';
public const string PROVIDER_TWILIO_FLEX = 'twilio-flex';
public const string PROVIDER_TWILIO_FLEX_DIRECT = 'twilio-flex-direct';
public const string PROVIDER_TWILIO_VIDEO = 'twilio-video';
public const string PROVIDER_AVAYA = 'avaya';
public const string PROVIDER_TELUS = 'telus';
public const string PROVIDER_FIVE_NINE = 'five-nine';
public const string PROVIDER_APOLLO = 'apollo';
public const string PROVIDER_ORUM = 'orum';
public const string PROVIDER_BLOOBIRDS = 'bloobirds';
/**
* @const API_PROVIDERS
* A list of integrations that import calls via API instead of webhooks
*/
public const array API_PROVIDERS = [
self::PROVIDER_OUTREACH,
self::PROVIDER_SALESLOFT,
self::PROVIDER_HUBSPOT,
self::PROVIDER_GROOVE,
self::PROVIDER_XANT,
self::PROVIDER_NATTERBOX,
self::PROVIDER_CLOUDCALL,
self::PROVIDER_CLOUDCALL_US,
self::PROVIDER_EIGHT_BY_EIGHT,
self::PROVIDER_EIGHT_BY_EIGHT_CA,
self::PROVIDER_EIGHT_BY_EIGHT_AP,
self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,
self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,
self::PROVIDER_CONNECT_AND_SELL,
self::PROVIDER_CLOUD_TALK,
self::PROVIDER_AMAZON_CONNECT,
self::PROVIDER_VONAGE,
self::PROVIDER_TALKDESK,
self::PROVIDER_TWILIO_VIDEO,
self::PROVIDER_TWILIO_FLEX,
self::PROVIDER_TWILIO_FLEX_DIRECT,
self::PROVIDER_FIVE_NINE,
self::PROVIDER_APOLLO,
self::PROVIDER_ORUM,
self::PROVIDER_BLOOBIRDS,
self::PROVIDER_RINGCENTRAL,
self::PROVIDER_AVAYA,
self::PROVIDER_TELUS,
];
public const array FINITE_STATES = [
self::TYPE_SOFTPHONE => [
self::STATUS_COMPLETED,
self::STATUS_FAILED,
self::STATUS_NO_ANSWER,
self::STATUS_BUSY,
],
self::TYPE_SOFTPHONE_INBOUND => [
self::STATUS_COMPLETED,
self::STATUS_FAILED,
self::STATUS_NO_ANSWER,
self::STATUS_BUSY,
],
self::TYPE_CONFERENCE => self::FINITE_STATES_CONFERENCE,
];
public const array FINITE_STATES_CONFERENCE = [
self::STATUS_COMPLETED,
self::STATUS_FAILED,
self::STATUS_CANCELLED,
];
public const array MEETING_BOT_JOIN_ATTEMPTED = [
self::STATUS_BOT_INSTANCE_WAITING_LOBBY,
self::STATUS_BOT_INSTANCE_STARTED,
];
public static array $enumStatuses = [
self::STATUS_SCHEDULED,
self::STATUS_PENDING,
self::STATUS_RINGING,
self::STATUS_IN_PROGRESS,
self::STATUS_COMPLETED,
self::STATUS_CANCELLED,
self::STATUS_BUSY,
self::STATUS_NO_ANSWER,
self::STATUS_FAILED,
self::STATUS_ACCEPTED,
self::STATUS_QUEUED,
self::STATUS_SENDING,
self::STATUS_SENT,
self::STATUS_RESENT,
self::STATUS_DELIVERED,
self::STATUS_UNDELIVERED,
self::STATUS_RECEIVING,
self::STATUS_RECEIVED,
self::STATUS_BOT_INSTANCE_WAITING_LOBBY,
self::STATUS_STARTING_SOON,
self::STATUS_BOT_INSTANCE_WORKER_ASSIGNED,
self::STATUS_BOT_INSTANCE_STARTED,
self::STATUS_DUPLICATED,
];
public static array $enumProviders = [
self::PROVIDER_TWILIO,
self::PROVIDER_OUTREACH,
self::PROVIDER_ZOOM_BOT,
self::PROVIDER_SALESLOFT,
self::PROVIDER_AIRCALL,
self::PROVIDER_JUSTCALL,
self::PROVIDER_GOOGLE_MEET,
self::PROVIDER_GONG,
self::PROVIDER_HUBSPOT,
self::PROVIDER_CLOSE,
self::PROVIDER_TEAMS,
self::PROVIDER_SALESFORCE,
self::PROVIDER_GROOVE,
self::PROVIDER_XANT,
self::PROVIDER_GOOGLE,
self::PROVIDER_OFFICE,
self::PROVIDER_NATTERBOX,
self::PROVIDER_RINGCENTRAL,
self::PROVIDER_RINGCENTRAL_VIDEO,
self::PROVIDER_GOTOMEETING,
self::PROVIDER_DEMODESK,
self::PROVIDER_DIALPAD,
self::PROVIDER_ZOOM_PHONE,
self::PROVIDER_CLOUDCALL,
self::PROVIDER_CLOUDCALL_US,
self::PROVIDER_EIGHT_BY_EIGHT,
self::PROVIDER_EIGHT_BY_EIGHT_CA,
self::PROVIDER_EIGHT_BY_EIGHT_AP,
self::PROVIDER_EIGHT_BY_EIGHT_US_EAST,
self::PROVIDER_EIGHT_BY_EIGHT_US_WEST,
self::PROVIDER_CONNECT_AND_SELL,
self::PROVIDER_CLOUD_TALK,
self::PROVIDER_AMAZON_CONNECT,
self::PROVIDER_VONAGE,
self::PROVIDER_TALKDESK,
self::PROVIDER_TWILIO_FLEX,
self::PROVIDER_TWILIO_FLEX_DIRECT,
self::PROVIDER_TWILIO_VIDEO,
self::PROVIDER_AVAYA,
self::PROVIDER_TELUS,
self::PROVIDER_FIVE_NINE,
self::PROVIDER_APOLLO,
self::PROVIDER_ORUM,
self::PROVIDER_BLOOBIRDS,
];
public static $enumRecordingStates = [
self::RECORDING_OFF, // Default state
self::RECORDING_IN_PROGRESS,
self::RECORDING_PAUSED,
self::RECORDING_STOPPED,
self::RECORDING_RECORDED,
self::RECORDING_FAILED,
];
// @Important:
// This collection is not used anywhere, and is fully duplicated by the Channels const.
// Validate if it is referred somehow via the enum trait, and if not, remove it entirely.
// An even better strategy will be to move all those constants to a dedicated class
protected array $enumTypes = [
self::TYPE_SOFTPHONE,
self::TYPE_SOFTPHONE_INBOUND,
self::TYPE_CONFERENCE,
self::TYPE_SMS_INBOUND,
self::TYPE_SMS_OUTBOUND,
self::TYPE_EMAIL_INBOUND,
self::TYPE_EMAIL_OUTBOUND,
];
protected static $enumFailedStatuses = [
self::STATUS_NO_ANSWER,
self::STATUS_FAILED,
self::STATUS_BUSY,
self::STATUS_CANCELLED,
];
protected $table = 'activities';
protected $fillable = [
// Type of activity.
'type', // @todo refactor to `channel`
// The activity type.
'playbook_category_id',
// User who hosts the activity.
'user_id',
// Related Lead record (if applicable)
'lead_id',
// Related Account record (if applicable)
'account_id',
// Related Contact record (if applicable)
'contact_id',
// Related Opportunity record (if applicable)
'opportunity_id',
// Stage of activity.
'stage_id',
// Value of opportunity.
'value',
// If the activity relates to a CRM task.
'crm_provider_id',
// If the activity was created through an external device.
'device_id',
// the activity's language code
'language',
// transcription id
'transcription_id',
// Duration of the call, with microseconds precision.
'duration',
// One of enumStatuses above.
'status',
// Have we reminded them to log the call?
'log_reminder_sent_at',
// If activity is private or inter-org, flagged here.
'is_internal',
// Managers and above can mark a call as private, to exclude it from other team members
'is_private',
'is_processed',
// Boolean for this activity being instant invite handled.
'is_instant_invite',
// If activity is in recording state, flagged here.
'recording_state',
// If activity recording is overidden from default.
'recording_preference',
// if recording did (not) happen, why that is
'recording_reason_code',
// Average score, updated during
'average_score',
// Summary that the organizer has taken after the call.
'summary',
// Subject of the activity, usually taken from calendar event.
'title',
// Description of the activity, usually taken from calendar event.
'description',
// Start time, usually taken from calendar event.
'scheduled_start_time',
// End time, usually taken from calendar event.
'scheduled_end_time',
// When the call actually started.
'actual_start_time',
// When the call actually ended.
'actual_end_time',
// SMS: Message reference
'telephony_provider_id',
// SMS: Participant who sent message
'from_participant_id',
// SMS: Participant who should receive the message
'to_participant_id',
// When an external guest joins an organizers meeting room and the organizer is not present,
// send them an SMS notification that someone has joined.
'organizer_notified_at',
// where was the activity imported from
'source',
// The id in the source system (e.g. the bot id in Recall.ai)
'external_id',
// The provider, by default it is twilio.
'provider',
// Meeting location url
'location',
// The snapshot for displaying a poster image.
'poster_path',
'crm_configuration_id',
// If there is an automated message that the conversation is being recorded
'has_recording_prompt',
// If the activity is being live-streamed
'on_air',
'calendar_event_id',
];
protected $appends = [
'id_string',
'organizer',
];
protected $hidden = [
'uuid',
];
protected $visible = [
'id_string',
'type',
'duration',
'average_score',
'status',
'log_reminder_sent_at',
'title',
'description',
'is_internal',
'scheduled_start_time',
'scheduled_end_time',
'actual_start_time',
'actual_end_time',
'user',
'category',
'account',
'contact',
'opportunity',
'lead',
'stage',
'stats',
'participants',
'playlists',
'tracks',
'comments',
'plays',
'coachingFeedbacks',
'shares',
'favorites',
'language',
'transcription',
'is_private',
'is_instant_invite',
'on_air',
'calendar_event_id',
];
protected function casts(): array
{
return [
'scheduled_start_time' => 'datetime',
'scheduled_end_time' => 'datetime',
'actual_start_time' => 'datetime',
'actual_end_time' => 'datetime',
'organizer_notified_at' => 'datetime',
'log_reminder_sent_at' => 'datetime',
'is_internal' => 'boolean',
'duration' => 'integer',
'average_score' => 'decimal:2',
'is_private' => 'boolean',
'is_processed' => 'boolean',
'is_instant_invite' => 'boolean',
'value' => 'decimal:2',
'recording_preference' => 'boolean',
'recording_reason_code' => 'integer',
'has_recording_prompt' => 'boolean',
'on_air' => 'integer',
];
}
protected static function boot()
{
parent::boot();
static::updated(static function (Activity $activity) {
// If activity is about to start (pending, ringing, in-progress) or event is scheduled in less than 1 week
if (in_array($activity->status, [Activity::STATUS_PENDING, Activity::STATUS_RINGING, Activity::STATUS_IN_PROGRESS], true) ||
($activity->scheduled_start_time && (int) $activity->scheduled_start_time->diffInWeeks(new Carbon(), true) < 1)) {
if ($activity->isDirty('status')) {
event(new StatusUpdated($activity));
}
if ($activity->isDirty('stage_id')) {
event(new StageUpdated($activity));
}
if ($activity->isDirty(['lead_id', 'account_id', 'contact_id'])) {
event(new ProspectUpdated($activity));
}
if ($activity->isDirty('opportunity_id')) {
event(new ActivityUpdated($activity, 'activity.opportunity-updated', Auth::user()));
}
if ($activity->isDirty('title')) {
event(new TitleUpdated($activity));
}
}
if ($activity->isDirty('playbook_category_id')) {
event(new ActivityTypeUpdated($activity));
}
});
static::deleted(static function (Activity $activity) {
// Hard delete associated playlistActivities
$activity->playlistActivities()->delete();
});
}
public function getOrganizerAttribute(): ?Participant
{
$participant = $this->participants()->where('user_id', $this->user_id)->first();
if (! $participant instanceof Participant && $participant !== null) {
throw new RuntimeException(sprintf('$participant must be an instance of "%s" or null', Participant::class));
}
return $participant;
}
public function getFormattedValueAttribute()
{
$currencyCode = 'USD';
if ($this->opportunity) {
$currencyCode = $this->opportunity->getCurrencyCode();
}
$formatter = new CurrencyFormatter();
$formatter->setTextAttribute(NumberFormatter::CURRENCY_CODE, $currencyCode);
$formatter->setAttribute(NumberFormatter::MAX_FRACTION_DIGITS, 0);
return $formatter->format($this->value, $currencyCode);
}
public function getProspectNameAttribute(): ?string
{
$prospectName = null;
if ($this->lead_id) {
$prospectName = $this->lead->name;
} elseif ($this->contact_id) {
$prospectName = $this->contact->name;
} elseif ($this->account_id) {
$prospectName = $this->account->name;
}
return $prospectName;
}
public function getProspectName(): ?string
{
/** @var string|null */
return $this->getAttribute('prospect_name');
}
/**
* Get activity title depending on prospect or title
*/
public function getActivityTitleAttribute(): ?string
{
$activityTitle = null;
if ($this->prospect && $this->prospect->getName()) {
if ($this->account_id) {
$activityTitle = $this->account->name;
} elseif ($this->lead_id) {
$activityTitle = $this->lead->company;
} elseif ($this->contact_id) {
$activityTitle = $this->contact->account ? $this->contact->account->name : $this->contact->name;
}
} elseif ($this->title) {
$activityTitle = $this->title;
}
return $activityTitle;
}
public function wasRecentlyCreated(): bool
{
return $this->wasRecentlyCreated;
}
public function getProspectTypeAttribute()
{
$prospectType = null;
if ($this->lead_id) {
$prospectType = 'Lead';
} elseif ($this->contact_id) {
$prospectType = 'Contact';
} elseif ($this->account_id) {
$prospectType = 'Account';
}
return $prospectType;
}
/**
* Return the best match for prospect. Results are in the following order of priority:
* 1. Lead
* 2. Contact
* 3. Account
* 4. NULL
*/
public function getProspectAttribute(): ?ProspectInterface
{
if ($this->hasLead()) {
return $this->getLead();
}
if ($this->hasContact()) {
return $this->getContact();
}
if ($this->hasAccount()) {
return $this->getAccount();
}
return null;
}
public function getTitleAttribute($value): ?string
{
return \getActivityTitleAttribute(
$this->user->name,
$this->getType(),
$value,
$this->prospect->name ?? null,
$this->from->national_phone_number ?? null
);
}
public function getTitle(): ?string
{
return $this->getAttribute('title');
}
public function getSummary(): ?string
{
return $this->getAttribute('summary');
}
public function isInternal(): bool
{
return $this->getAttribute('is_internal');
}
public function getIsPrivate(): bool
{
return $this->getAttribute('is_private');
}
public function getDescription(): ?string
{
return $this->getAttribute('description');
}
public function hasTitle(): bool
{
return $this->getOriginal('title') !== null;
}
public function getPlayCountAttribute()
{
return $this->getPlaysCountAttribute();
}
public function getPlaysCountAttribute()
{
if (! isset($this->attributes['plays_count'])) {
$this->loadCount('plays');
}
return $this->attributes['plays_count'];
}
public function getCommentCountAttribute()
{
return $this->getCommentsCountAttribute();
}
public function getCommentsCountAttribute()
{
if (! isset($this->attributes['comments_count'])) {
$this->loadCount('comments');
}
return $this->attributes['comments_count'];
}
public function getVisibleCommentsCountAttribute()
{
if (! isset($this->attributes['visible_comments_count'])) {
$activityCommentsService = app(ActivityCommentService::class);
$user = Auth::user() instanceof User ? Auth::user() : null;
$this->attributes['visible_comments_count'] = $activityCommentsService
->getVisibleCommentsCount($this, $user);
}
return $this->attributes['visible_comments_count'];
}
public function getShareCountAttribute()
{
return $this->getSharesCountAt...
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Screenpipe — Archive
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Claude
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Screenpipe — Archive
Screenpipe — Archive
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Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
AI Chat settings
Close...
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NULL
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NULL
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39455
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Firefox
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1
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NULL
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
AI Chat settings
Close
Google Account: Lukáš Koválik ([EMAIL])
Main menu
New chat
Gemini
New chat
Share conversation...
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9174358033044658127
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app_switch
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
AI Chat settings
Close
Google Account: Lukáš Koválik ([EMAIL])
Main menu
New chat
Gemini
New chat
Share conversation...
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NULL
|
NULL
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NULL
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NULL
|
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39456
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1449
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23
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2026-05-14T06:56:54.216343+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778741814216_m1.jpg...
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Slack
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Vasil Vasilev (DM) - Jiminny Inc - 4 new items - S Vasil Vasilev (DM) - Jiminny Inc - 4 new items - Slack...
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1
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NULL
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monitor_1
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NULL
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
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NULL
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NULL
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NULL
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39457
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1450
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Slack
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Vasil Vasilev (DM) - Jiminny Inc - 4 new items - S Vasil Vasilev (DM) - Jiminny Inc - 4 new items - Slack...
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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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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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Home
DMs
slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Vasil Vasilev (DM) - Jiminny Inc - 4 new items - S Vasil Vasilev (DM) - Jiminny Inc - 4 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
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Vasil Vasilev
Yesterday at 5:07:29 PM
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Switch workspaces… (Jiminny Inc) Has new messages
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Vasil Vasilev (DM) - Jiminny Inc - 4 new items - S Vasil Vasilev (DM) - Jiminny Inc - 4 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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Switch workspaces… (Jiminny Inc) Has new messages
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Vasil Vasilev (DM) - Jiminny Inc - 4 new items - S Vasil Vasilev (DM) - Jiminny Inc - 4 new items - Slack...
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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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slackw Usage | Windsurf• JY-20891 add support for slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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engineering...
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Switch workspaces… (Jiminny Inc) Has new messages
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FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Vasil Vasilev (DM) - Jiminny Inc - 4 new items - S Vasil Vasilev (DM) - Jiminny Inc - 4 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
Jump to date
Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
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Today at 9:39:57 AM
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make docker-update`
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Today at 9:40:07 AM
9:40
и ребилдване на локалните контейнери
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше...
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
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Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
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Today at 9:39:57 AM
9:39
make docker-update`
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Today at 9:40:07 AM
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и ребилдване на локалните контейнери
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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and Edit Channel Tabs","depth":17,"bounds":{"left":0.71276593,"top":0.09177973,"width":0.010970744,"height":0.030327214},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Canvas","depth":17,"bounds":{"left":0.59640956,"top":0.0518755,"width":0.015957447,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"List","depth":17,"bounds":{"left":0.59640956,"top":0.0518755,"width":0.007978723,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Folder","depth":17,"bounds":{"left":0.59640956,"top":0.0518755,"width":0.013962766,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"Jump to date","depth":22,"on_screen":false,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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ggml_metal_init: found device: Apple M1
ggml_metal ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T09:57:14.373110Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=94 elapsed=4.403152208s
2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames
2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted
2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"ggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-14T09:57:14.373110Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=94 elapsed=4.403152208s\n2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames\n2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted\n2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted","depth":4,"on_screen":true,"value":"ggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-14T09:57:14.373110Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=94 elapsed=4.403152208s\n2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames\n2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted\n2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.0674867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.33776596,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33976063,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.40508643,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.40708113,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.47240692,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4744016,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.5397274,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.54172206,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"ec2-user@ip-10-30-129-190:~ (-zsh)","depth":2,"bounds":{"left":0.60704786,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.6090425,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"ec2-user@ip-10-20-31-146:~ (-zsh)","depth":2,"bounds":{"left":0.6743683,"top":1.0,"width":0.06732048,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.67636305,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7280585,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.49601063,"top":1.0,"width":0.027925532,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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-2007697203937275002
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-851668773673044512
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app_switch
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accessibility
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NULL
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ggml_metal_init: found device: Apple M1
ggml_metal ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T09:57:14.373110Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=94 elapsed=4.403152208s
2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames
2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted
2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted
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⌥⌘1
screenpipe"...
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2026-05-14T06:57:34.109781+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778741854109_m1.jpg...
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iTerm2
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screenpipe"
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ggml_metal_init: found device: Apple M1
ggml_metal ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T09:57:14.373110Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=94 elapsed=4.403152208s
2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames
2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted
2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"ggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-14T09:57:14.373110Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=94 elapsed=4.403152208s\n2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames\n2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted\n2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted","depth":4,"on_screen":true,"value":"ggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: wire screenpipe into claude with one command:\n claude mcp add screenpipe -- npx -y screenpipe-mcp\n then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-14T09:57:14.373110Z WARN sqlx::query: summary=\"SELECT id, snapshot_path, device_name, …\" db.statement=\"\\n\\nSELECT\\n id,\\n snapshot_path,\\n device_name,\\n timestamp\\nFROM\\n frames\\nWHERE\\n snapshot_path IS NOT NULL\\n AND timestamp < ?1\\nORDER BY\\n device_name,\\n timestamp ASC\\nLIMIT\\n 5000\\n\" rows_affected=0 rows_returned=94 elapsed=4.403152208s\n2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames\n2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted\n2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.14097223,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.14097223,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.14513889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.28159723,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.2857639,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.42222223,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4263889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.5628472,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.56701386,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"ec2-user@ip-10-30-129-190:~ (-zsh)","depth":2,"bounds":{"left":0.7034722,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.70763886,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"ec2-user@ip-10-20-31-146:~ (-zsh)","depth":2,"bounds":{"left":0.8440972,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.84826386,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95625,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47152779,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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-2007697203937275002
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-851668773673044512
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app_switch
|
accessibility
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NULL
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ggml_metal_init: found device: Apple M1
ggml_metal ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:54:16.421520Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-14T09:56:20.851873Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-14T09:57:14.373110Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=0 rows_returned=94 elapsed=4.403152208s
2026-05-14T09:57:14.375008Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 94 eligible frames
2026-05-14T09:57:17.658125Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 52 frames, 9.0MB → 2.6MB (3.5x), 52 JPEGs deleted
2026-05-14T09:57:20.553167Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 40 frames, 6.2MB → 1.2MB (5.4x), 40 JPEGs deleted
DOCKER
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screenpipe"
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ec2-user@ip-10-30-129-190:~ (-zsh)
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ec2-user@ip-10-20-31-146:~ (-zsh)
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⌥⌘1
screenpipe"...
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/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778741857772_m2.jpg...
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PhpStorm
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faVsco.js – UpdateActivityElasticSearchDocumentCom faVsco.js – UpdateActivityElasticSearchDocumentCommand.php...
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
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Code changed:
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7
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<?php
namespace Jiminny\Console\Commands\Activities;
use Illuminate\Console\Command;
use Illuminate\Contracts\Events\Dispatcher;
use Jiminny\Contracts\ES\Events\UpdateSingleEntity;
use Jiminny\Contracts\ES\UpdateTargetEnum;
use Jiminny\Models\Activity;
class UpdateActivityElasticSearchDocumentCommand extends Command
{
protected $signature = 'activity:update:es {activityId}';
protected $description = 'Update ES document synchronously';
public function __construct(private readonly Dispatcher $eventDispatcher)
{
parent::__construct();
}
public function handle(): void
{
$activityId = $this->argument('activityId');
$this->info("Searching for activity with: {$activityId}");
if (is_numeric($activityId)) {
$activity = Activity::find((int) $activityId);
} else {
$activity = Activity::where('uuid', \Jiminny\Traits\RequiresUUID::toOptimized($activityId))->first();
}
if (! $activity) {
$this->error("Activity with ID/UUID {$activityId} not found");
return;
}
$this->info("Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}");
$this->info('Sending activity for ES update...');
try {
$this->eventDispatcher->dispatch(
new UpdateSingleEntity(
entityId: $activity->getId(),
updateTarget: UpdateTargetEnum::ACTIVITY,
purpose: 'cli-command-activity-update-es',
isSyncEvent: true,
)
);
$this->info('Done.');
} catch (\Exception $e) {
$this->error('Failed to update ES: ' . $e->getMessage());
$this->error($e->getTraceAsString());
}
}
}...
|
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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":"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 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Jiminny\\Console\\Commands\\Activities;\n\nuse Illuminate\\Console\\Command;\nuse Illuminate\\Contracts\\Events\\Dispatcher;\nuse Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity;\nuse Jiminny\\Contracts\\ES\\UpdateTargetEnum;\nuse Jiminny\\Models\\Activity;\n\nclass UpdateActivityElasticSearchDocumentCommand extends Command\n{\n protected $signature = 'activity:update:es {activityId}';\n protected $description = 'Update ES document synchronously';\n\n public function __construct(private readonly Dispatcher $eventDispatcher)\n {\n parent::__construct();\n }\n\n public function handle(): void\n {\n $activityId = $this->argument('activityId');\n\n $this->info(\"Searching for activity with: {$activityId}\");\n\n if (is_numeric($activityId)) {\n $activity = Activity::find((int) $activityId);\n } else {\n $activity = Activity::where('uuid', \\Jiminny\\Traits\\RequiresUUID::toOptimized($activityId))->first();\n }\n\n if (! $activity) {\n $this->error(\"Activity with ID/UUID {$activityId} not found\");\n\n return;\n }\n\n $this->info(\"Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}\");\n $this->info('Sending activity for ES update...');\n\n try {\n $this->eventDispatcher->dispatch(\n new UpdateSingleEntity(\n entityId: $activity->getId(),\n updateTarget: UpdateTargetEnum::ACTIVITY,\n purpose: 'cli-command-activity-update-es',\n isSyncEvent: true,\n )\n );\n\n $this->info('Done.');\n } catch (\\Exception $e) {\n $this->error('Failed to update ES: ' . $e->getMessage());\n $this->error($e->getTraceAsString());\n }\n }\n}","depth":4,"bounds":{"left":0.1619016,"top":0.056664005,"width":0.31981382,"height":0.943336},"on_screen":true,"value":"<?php\n\nnamespace Jiminny\\Console\\Commands\\Activities;\n\nuse Illuminate\\Console\\Command;\nuse Illuminate\\Contracts\\Events\\Dispatcher;\nuse Jiminny\\Contracts\\ES\\Events\\UpdateSingleEntity;\nuse Jiminny\\Contracts\\ES\\UpdateTargetEnum;\nuse Jiminny\\Models\\Activity;\n\nclass UpdateActivityElasticSearchDocumentCommand extends Command\n{\n protected $signature = 'activity:update:es {activityId}';\n protected $description = 'Update ES document synchronously';\n\n public function __construct(private readonly Dispatcher $eventDispatcher)\n {\n parent::__construct();\n }\n\n public function handle(): void\n {\n $activityId = $this->argument('activityId');\n\n $this->info(\"Searching for activity with: {$activityId}\");\n\n if (is_numeric($activityId)) {\n $activity = Activity::find((int) $activityId);\n } else {\n $activity = Activity::where('uuid', \\Jiminny\\Traits\\RequiresUUID::toOptimized($activityId))->first();\n }\n\n if (! $activity) {\n $this->error(\"Activity with ID/UUID {$activityId} not found\");\n\n return;\n }\n\n $this->info(\"Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}\");\n $this->info('Sending activity for ES update...');\n\n try {\n $this->eventDispatcher->dispatch(\n new UpdateSingleEntity(\n entityId: $activity->getId(),\n updateTarget: UpdateTargetEnum::ACTIVITY,\n purpose: 'cli-command-activity-update-es',\n isSyncEvent: true,\n )\n );\n\n $this->info('Done.');\n } catch (\\Exception $e) {\n $this->error('Failed to update ES: ' . $e->getMessage());\n $this->error($e->getTraceAsString());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false}]...
|
6991099392518100610
|
-3950736144691193050
|
app_switch
|
accessibility
|
NULL
|
Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
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IDE and Project Settings
Code changed:
Hide
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Hide This Notification
7
Previous Highlighted Error
Next Highlighted Error
<?php
namespace Jiminny\Console\Commands\Activities;
use Illuminate\Console\Command;
use Illuminate\Contracts\Events\Dispatcher;
use Jiminny\Contracts\ES\Events\UpdateSingleEntity;
use Jiminny\Contracts\ES\UpdateTargetEnum;
use Jiminny\Models\Activity;
class UpdateActivityElasticSearchDocumentCommand extends Command
{
protected $signature = 'activity:update:es {activityId}';
protected $description = 'Update ES document synchronously';
public function __construct(private readonly Dispatcher $eventDispatcher)
{
parent::__construct();
}
public function handle(): void
{
$activityId = $this->argument('activityId');
$this->info("Searching for activity with: {$activityId}");
if (is_numeric($activityId)) {
$activity = Activity::find((int) $activityId);
} else {
$activity = Activity::where('uuid', \Jiminny\Traits\RequiresUUID::toOptimized($activityId))->first();
}
if (! $activity) {
$this->error("Activity with ID/UUID {$activityId} not found");
return;
}
$this->info("Found activity ID: {$activity->getId()}, UUID: {$activity->getUuid()}");
$this->info('Sending activity for ES update...');
try {
$this->eventDispatcher->dispatch(
new UpdateSingleEntity(
entityId: $activity->getId(),
updateTarget: UpdateTargetEnum::ACTIVITY,
purpose: 'cli-command-activity-update-es',
isSyncEvent: true,
)
);
$this->info('Done.');
} catch (\Exception $e) {
$this->error('Failed to update ES: ' . $e->getMessage());
$this->error($e->getTraceAsString());
}
}
}...
|
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1451
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2
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2026-05-14T06:57:40.284294+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778741860284_m1.jpg...
|
Firefox
|
Screenpipe — Archive — Personal
|
1
|
app.screenpipe.lakylak.xyz
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monitor_1
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NULL
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NULL
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NULL
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
AI Chat settings
Close
Google Account: Lukáš Koválik ([EMAIL])
Main menu
New chat
Gemini
New chat
Share conversation
Open menu for conversation actions.
Conversation with Gemini
Conversation with Gemini
Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:...
|
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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New Tab
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:...
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Customize sidebar
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Open history (⇧⌘H)
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Main menu
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Share conversation
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Screenpipe — Archive
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SQLite Web: archive.db
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
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2026-05-14T06:57:44.718050+00:00
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Screenpipe — Archive
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All docs Screenpipe — Archive
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Claude...
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Meet - Daily - Platform
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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FirefoxFileEditViewHistoryBookmarksProfilesCTools FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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idle
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accessibility
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
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Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
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Configure SSH access to multiple environment - Engineering - Confluence
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Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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jiminny.atlassian.net/jira/servicedesk/projects/SR jiminny.atlassian.net/jira/servicedesk/projects/SRD/queues/custom/37...
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monitor_2
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1...
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8847946456264604307
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6358544834618009668
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idle
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accessibility
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1...
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39475
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NULL
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NULL
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NULL
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39478
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1451
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8
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2026-05-14T06:59:53.298730+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778741993298_m1.jpg...
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Firefox
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Service-Desk - Queues - Platform team - Service sp Service-Desk - Queues - Platform team - Service space - Jira — Work...
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1
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jiminny.atlassian.net/jira/servicedesk/projects/SR jiminny.atlassian.net/jira/servicedesk/projects/SRD/queues/custom/37...
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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2026-05-14T07:00:22.312880+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778742022312_m2.jpg...
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Service-Desk - Queues - Platform team - Service sp Service-Desk - Queues - Platform team - Service space - Jira — Work...
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jiminny.atlassian.net/jira/servicedesk/projects/SR jiminny.atlassian.net/jira/servicedesk/projects/SRD/queues/custom/37...
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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6349609086439141572
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idle
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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2026-05-14T07:00:23.573729+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-14/1778 /Users/lukas/.screenpipe/data/data/2026-05-14/1778742023573_m1.jpg...
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Firefox
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Service-Desk - Queues - Platform team - Service sp Service-Desk - Queues - Platform team - Service space - Jira — Work...
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jiminny.atlassian.net/jira/servicedesk/projects/SR jiminny.atlassian.net/jira/servicedesk/projects/SRD/queues/custom/37...
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monitor_1
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
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Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
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Usage | Windsurf
Usage | Windsurf
JY-20891 add sup Usage | Windsurf
Usage | Windsurf
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Jiminny
Configure SSH access to multiple environment - Engineering - Confluence
Configure SSH access to multiple environment - Engineering - Confluence
Useful commands - Engineering - Confluence
Useful commands - Engineering - Confluence
Dev Tools - Elastic
Dev Tools - Elastic
Jiminny
Jiminny
[SRD-6853] Moxso - Potential deal stages bug - Jira
[SRD-6853] Moxso - Potential deal stages bug - Jira
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
CloudWatch | eu-west-1
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
JY-20891 add support for secondary email by LakyLak · Pull Request #12073 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
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Project: faVsco.js, menu
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs
DMs
Activity
Activity
Files
Files
Later
Later
More…
More
Unreads
Threads
Huddles
Drafts & sent
1
Directories
jiminny-x-integration-app
platform-inner-team
ai-chapter
alerts
backend
bugs
confusion-clinic
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Switch workspaces… (Jiminny Inc) Has new messages
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Later
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More
Unreads
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1
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FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
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Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
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Today at 9:39:57 AM
9:39
make docker-update`
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Today at 9:40:07 AM
9:40
и ребилдване на локалните контейнери
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
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Today at 9:41:11 AM
9:41
а пък менажирането на тея процеси от scheduler беше спряно
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Lukas Kovalik
Today at 9:42:38 AM
9:42 AM
оправих се, но трябваше да пипна команда ще намираше грешно активити
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Vasil Vasilev
Today at 9:43:02 AM
9:43 AM
какъв беше точно проблема всъщност?
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Lukas Kovalik
Today at 9:43:46 AM
9:43 AM
root@docker_lamp_1:/home/jiminny# php artisan activity:update:es 422003
Found activity ID: 16, UUID: 988920ba-cdf8-43bc-a869-1f6d85e55fa0
Sending activity for ES update...
Done.
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Today at 9:44:02 AM
9:44
това е вече с повече логове...
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AM","depth":24,"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"9:44","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"това е вече с повече логове","depth":24,"on_screen":true,"role_description":"text"}]...
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idle
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hybrid
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Switch workspaces… (Jiminny Inc) Has new messages
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Yesterday at 5:06:57 PM
5:06
fbf8098c769bd9e8d18fa2252e10f750e4d4f8c9fd9649229be3df1eb3ddb9b9.png
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
Jump to date
Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
React with white_check_mark
React with eyes
React with raised_hands
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Today at 9:39:57 AM
9:39
make docker-update`
React with white_check_mark
React with eyes
React with raised_hands
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Today at 9:40:07 AM
9:40
и ребилдване на локалните контейнери
React with white_check_mark
React with eyes
React with raised_hands
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
React with white_check_mark
React with eyes
React with raised_hands
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Today at 9:41:11 AM
9:41
а пък менажирането на тея процеси от scheduler беше спряно
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Lukas Kovalik
Today at 9:42:38 AM
9:42 AM
оправих се, но трябваше да пипна команда ще намираше грешно активити
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Vasil Vasilev
Today at 9:43:02 AM
9:43 AM
какъв беше точно проблема всъщност?
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Lukas Kovalik
Today at 9:43:46 AM
9:43 AM
root@docker_lamp_1:/home/jiminny# php artisan activity:update:es 422003
Found activity ID: 16, UUID: 988920ba-cdf8-43bc-a869-1f6d85e55fa0
Sending activity for ES update...
Done.
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Today at 9:44:02 AM
9:44
това е вече с повече логове
FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Vasil Vasilev (DM) - Jiminny Inc - 5 new items - S Vasil Vasilev (DM) - Jiminny Inc - 5 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Yesterday at 5:06:57 PM
5:06
fbf8098c769bd9e8d18fa2252e10f750e4d4f8c9fd9649229be3df1eb3ddb9b9.png
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
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Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
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Today at 9:39:57 AM
9:39
make docker-update`
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Today at 9:40:07 AM
9:40
и ребилдване на локалните контейнери
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
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Today at 9:41:11 AM
9:41
а пък менажирането на тея процеси от scheduler беше спряно
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Lukas Kovalik
Today at 9:42:38 AM
9:42 AM
оправих се, но трябваше да пипна команда ще намираше грешно активити
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Vasil Vasilev
Today at 9:43:02 AM
9:43 AM
какъв беше точно проблема всъщност?
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Lukas Kovalik
Today at 9:43:46 AM
9:43 AM
root@docker_lamp_1:/home/jiminny# php artisan activity:update:es 422003
Found activity ID: 16, UUID: 988920ba-cdf8-43bc-a869-1f6d85e55fa0
Sending activity for ES update...
Done.
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Today at 9:44:02 AM
9:44
това е вече с повече логове
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Today at 9:44:15 AM
9:44
422003 -> 16
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Today at 9:44:31 AM
9:44
трябва да го видя още
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Yesterday at 5:06:57 PM
5:06
fbf8098c769bd9e8d18fa2252e10f750e4d4f8c9fd9649229be3df1eb3ddb9b9.png
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
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Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
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Today at 9:39:57 AM
9:39
make docker-update`
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Today at 9:40:07 AM
9:40
и ребилдване на локалните контейнери
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
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Today at 9:41:11 AM
9:41
а пък менажирането на тея процеси от scheduler беше спряно
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Lukas Kovalik
Today at 9:42:38 AM
9:42 AM
оправих се, но трябваше да пипна команда ще намираше грешно активити
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Vasil Vasilev
Today at 9:43:02 AM
9:43 AM
какъв беше точно проблема всъщност?
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Lukas Kovalik
Today at 9:43:46 AM
9:43 AM
root@docker_lamp_1:/home/jiminny# php artisan activity:update:es 422003
Found activity ID: 16, UUID: 988920ba-cdf8-43bc-a869-1f6d85e55fa0
Sending activity for ES update...
Done.
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Today at 9:44:02 AM
9:44
това е вече с повече логове
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Today at 9:44:15 AM
9:44
422003 -> 16
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Today at 9:44:31 AM
9:44
трябва да го видя още
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FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Switch workspaces… (Jiminny Inc) Has new messages
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slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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Yesterday at 5:06:57 PM
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fbf8098c769bd9e8d18fa2252e10f750e4d4f8c9fd9649229be3df1eb3ddb9b9.png
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
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Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
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Today at 9:39:57 AM
9:39
make docker-update`
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Today at 9:40:07 AM
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и ребилдване на локалните контейнери
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
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Today at 9:41:11 AM
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а пък менажирането на тея процеси от scheduler беше спряно
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Lukas Kovalik
Today at 9:42:38 AM
9:42 AM
оправих се, но трябваше да пипна команда ще намираше грешно активити
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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fbf8098c769bd9e8d18fa2252e10f750e4d4f8c9fd9649229be3df1eb3ddb9b9.png
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Vasil Vasilev
Yesterday at 5:07:29 PM
5:07 PM
добреее, значи трябва да има процес, който чете от redis и налива в Elastic Search
Lukas Kovalik
Yesterday at 5:07:30 PM
5:07 PM
когато казваш update на контейнър имаш предвид през infrastructure
Jump to date
Vasil Vasilev
Today at 9:39:22 AM
9:39 AM
добро утро
Today at 9:39:28 AM
9:39
вчера забравих за теб
Today at 9:39:45 AM
9:39
оправи ли се с индексите, или още ти липсват данни
Today at 9:39:48 AM
9:39
иначе имах предвди
React with white_check_mark
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Today at 9:39:57 AM
9:39
make docker-update`
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Today at 9:40:07 AM
9:40
и ребилдване на локалните контейнери
React with white_check_mark
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Today at 9:40:44 AM
9:40
при мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспваше
React with white_check_mark
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Today at 9:41:11 AM
9:41
а пък менажирането на тея процеси от scheduler беше спряно
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React with raised_hands
Add reaction…
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Lukas Kovalik
Today at 9:42:38 AM
9:42 AM
оправих се, но трябваше да пипна команда ще намираше грешно активити
React with white_check_mark
React with eyes
React with raised_hands
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FirefoxFileEditViewHistoryBookmarksProfilesCTools WindowHelpmeet.google.com/mie-gawc-dsi?authuser=lukas.kovalik%40jiminny.com>0 lhl • | Daily - Platform - now+100% <478•Thu 14 May 9:45:36...
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Vasil Vasilev (DM) - Jiminny Inc - 5 new items - S Vasil Vasilev (DM) - Jiminny Inc - 5 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
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Nikolay Ivanov
James Graham
Stoyan Tanev
Galya Dimitrova...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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Vasil Vasilev
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Nikolay Ivanov
James Graham
Stoyan Tanev
Galya Dimitrova
slackw Usage | Windsurf• JY-20891 add support for second:[SRD-6848] Sidekick SMS issue -Platform Sprint 4 Q2 - Platform TeDependabot alerts • jiminny/proph(JY-19958] Upgrade BE librariesWY-20773) User Pilot not receivini( JY-19957 | Remove abanded sympTypeError: Leaque|Flysystem\Files1. Userpilot I Ask Jiminny Report Gen[JY-19957] Upgrade BE libraries -Dependabot alerts - iminny/app11Y-208011 Sidekick SMS iccue -[SRD-6849] Recorded call does n8 Jiminnv8 Jiminny8 Jiminny* Configure SSH access to multiple≥ Useful conDev Tools - ElasticJiminny-7 (SRD-68531 Moxso - Potential des& CloudWatch I eu-west-1CloudWatch | eu-west-1Platform Sorint 4 02 - Platform TeJY-20891 add support for secondaService-Desk - Queues - Platfc XIL Now TohMIStOMwindowhelg1y.dulasslan.nelIld/servicedesk/oroeeJ JIMINNYg For you(• RecentSpaces / Service-Desk / QueuesPlatform team* Starred0+ Apps|:= ListQ SpacesQ Search workJiminny (New)s work lems14 Service-DeskKeyE QueuesSRD-6853Team Priority|©, All open tickets 12SRD-68495 Unassigned t... 3Ej Support tea….SpN-69A9•, Raised by meE Assigned to ..Ej Service requ..E Plattorm teamE Processing t...Ej Site reliability... 0•, New features... 0bi InfoSec issues 0j Ready for Cu... 0•1 Resolved ti….. 999+= View all queuesF Service requestsA IncidentsHl ReportsC Operations• Knowledae Base0 Customers• Channolel• Email loasI< Develoner escalationsl: Slack integration< Reporting Center• Search IRequest tvpe vStatus vAssianee vSummaryMoxso - Potential deal stages bugkecorded call does not aobear on the casnooaroSidekick SMS issueMore tilters vPriority levelP2 MediumPe MediumP2 MediumHomeDMSActivityLateMoreJiminny...yS Starred8 jiminny-x-integrati…..•olattorm-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinid# curiosity lab# engineering# general# jiminny-bg# platform-tickets# product launches# randomi released# sofia-officea suodort# thank-yous# the people of iimi..A Direct messages• Vasil VasilevM Stefka StovanovaMario GeorgievNikolav Ivanovo James Graham8 Stovan Tanev© Galva DimitrovaStelivan Georgiey( Petko KashinskiR Aneliva Angelova EFa Lukas Kovali#: AppsS lira GloudToastm) Google Cale!YDally - Plau100% 1∞' Inu 14 May 9:40:30@ Describe what you are looking for& e. Vasil Vasilev• MessagestAdd canvas( FilesX Pins+1 new messageVasil Vasilley 9.39 AMIдобро утровчера забравих за тебопоави ли се с инлексите, или оше ти липоват ланнииначе имах прелвлиmake docker-updateи реоилдване на локалните контеинерипри мен преди време се бе случило така, че не върваха процесите за индексиране, понеже es-update-worker-а лиспвашеа пьк менажирането на тея процеси от scheduler беше спряноLukas Kovalik 9:42 AMоправих се, но трябваше да пипна команда ще намираше грешно активитиVasi Vasiley 9•43 AMкакьв беше точно проблема всъшност?Lukas Kovalik # 9:43 AMiny# php artisan activity:update:es 422003rouna aeloieysu.s, u. уooовасато 5аоeesending activity tor ts update..Done.това е вече с повече логове422003 -> 16трябва да го видя ощеVasil Vasiley 9:44 ANSactivity = Activity::id0rUuId(SactivityId)->firstO;това е пооблема.Lukas Kovalik 9:44.AMVasil Vasilev 9:44 AMActivity:.dOrludsactivitvicheтова само по себе си връша правилния моделобаче като извикаш върху Activity инстанция допълнтиелно ->first()бюка чаново в базата и рзима пиориа спошнат запискоито винаги в най ниското И ліMessage Vasil Vasilev+ Аal...
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